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What diseases are mentioned in the text? | Please analyze the following medical literature and extract entities and relationships: | The disease mentioned is: Lyme arthritis | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_disease |
What pathological states are described? | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The diseases mentioned are: Lyme disease, erythema migrans, arthritis, neuroborreliosis, and carditis | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_disease |
Identify the viruses referenced in this text. | Please analyze the following medical literature and extract entities and relationships: | The virus mentioned is: Rabies virus | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_virus |
Identify the bacterial organisms referenced in this text. | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The bacteria mentioned is: Clostridium tetani | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_bacteria |
List all medical conditions discussed in this passage. | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The diseases mentioned are: rabies, hydrophobia, and viral encephalitis | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_disease |
What pathogens (viruses, bacteria, fungi, parasites) are mentioned? | Please analyze the following medical literature and extract entities and relationships: | The pathogens mentioned are:
Parasite: Taenia solium | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_all_pathogens |
How are the entities in this text related? | Please analyze the following medical literature and extract entities and relationships: | The relationships are:
- Human T-lymphotropic virus has relationship adult T-cell leukemia | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_relationship |
Identify the parasites referenced in this text. | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The parasite mentioned is: Trichinella spiralis | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_parasite |
What diseases are mentioned in the text? | Please analyze the following medical literature and extract entities and relationships: | The disease mentioned is: bubonic plague | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_disease |
How many distinct pathogens are mentioned in the text? | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | There are 8 virus(es) mentioned in the text. | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_count |
What is the relationship between the pathogens and diseases mentioned? | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The relationships are:
- EV71 causes hand foot and mouth disease
- EV71 causes aseptic meningitis
- EV71 is a Enterovirus 71 | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_relationship |
What bacteria are mentioned in the text? | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The bacterias mentioned are: Escherichia coli O157:H7, enterohemorrhagic E. coli, and EHEC | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_bacteria |
Identify the parasites referenced in this text. | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The parasites mentioned are: Trypanosoma cruzi, triatomine bugs, and T. cruzi | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_parasite |
What is the relationship between the pathogens and diseases mentioned? | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The relationships are:
- Trypanosoma cruzi causes Chagas disease
- Chagas disease is a American trypanosomiasis
- Trypanosoma cruzi causes acute infection
- acute infection causes mild symptoms
- acute infection causes fever
- acute infection causes chronic cardiomyopathy
- chronic cardiomyopathy causes heart failure
-... | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_relationship |
What pathological states are described? | Please analyze the following medical literature and extract entities and relationships: | The disease mentioned is: cryoglobulinemia | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_disease |
Identify the viruses referenced in this text. | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The virus mentioned is: Marburg virus | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_virus |
What parasites are mentioned in the text? | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The parasites mentioned are: Toxoplasma gondii, and T. gondii | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_parasite |
List all medical conditions discussed in this passage. | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The diseases mentioned are: tuberculosis, TB, pulmonary tuberculosis, granulomatous inflammation, caseous necrosis, and human tuberculosis | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_disease |
What pathological states are described? | Please analyze the following medical literature and extract entities and relationships: | The disease mentioned is: hydatid disease | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_disease |
How many diseases are referenced in this passage? | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | There are 5 disease(s) mentioned in the text. | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_count |
What diseases are mentioned in the text? | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The disease mentioned is: meningoencephalitis | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_disease |
List all medical conditions discussed in this passage. | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The diseases mentioned are: meningoencephalitis, and HIV/AIDS | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_disease |
Identify the diseases and conditions referenced in this text. | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The disease mentioned is: bronchitis | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_disease |
What viruses are mentioned in the text? | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The virus mentioned is: Influenza A virus | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_virus |
What pathogens (viruses, bacteria, fungi, parasites) are mentioned? | Please analyze the following medical literature and extract entities and relationships: | The pathogens mentioned are:
Fungus: Aspergillus fumigatus | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_all_pathogens |
Which viruses are associated with the diseases mentioned? | Please analyze the following medical literature and extract entities and relationships: | The virus mentioned is: Human T-lymphotropic virus | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_virus |
What pathogens (viruses, bacteria, fungi, parasites) are mentioned? | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The pathogens mentioned are:
Parasite: Trypanosoma cruzi, triatomine bugs, reduviid bugs, T. cruzi, TcII, TcVI | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_all_pathogens |
What pathological states are described? | Please analyze the following medical literature and extract entities and relationships: | The disease mentioned is: diphtheria | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_disease |
Identify the parasites referenced in this text. | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The parasite mentioned is: Trypanosoma cruzi | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_parasite |
Identify the diseases and conditions referenced in this text. | Spontaneous inflammatory bowel disease in multiple mutant mouse lines: association with colonization by Helicobacter hepaticus. BACKGROUND: Both genetic and microbial factors are thought to play a role in the development of inflammatory bowel disease (IBD): however, no causative microbial agent has been clearly defined... | The disease mentioned is: inflammatory bowel disease | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_disease |
List all parasitic organisms discussed in this passage. | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The parasites mentioned are: Schistosoma mansoni, freshwater snails, Biomphalaria, humans, and cercariae | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_parasite |
Count the number of viruses mentioned. | Please analyze the following medical literature and extract entities and relationships: | There are 1 virus(es) mentioned in the text. | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_count |
List all viral pathogens discussed in this passage. | Please analyze the following medical literature and extract entities and relationships: | The virus mentioned is: Hepatitis C virus | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_virus |
What pathological states are described? | The Global Epidemiology of Scleritis: A Systematic Review and Meta-analysis. Purpose: Scleritis, a severe inflammatory condition of the sclera, causes significant ocular pain and potential tissue damage. Often linked with systemic diseases, scleritis can be either infectious or noninfectious. Despite its clinical impor... | The disease mentioned is: Scleritis | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_disease |
Identify the parasites referenced in this text. | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The parasites mentioned are: Plasmodium falciparum, and Anopheles mosquito | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_parasite |
Describe the associations between pathogens and conditions. | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The relationships are:
- Treponema pallidum subsp. pallidum causes syphilis
- Treponema pallidum subsp. pallidum causes chronic sexually transmitted infection
- syphilis associated with painless chancres
- syphilis associated with secondary syphilis
- syphilis associated with tertiary complications
- syphilis associate... | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_relationship |
List all viral pathogens discussed in this passage. | Please analyze the following medical literature and extract entities and relationships: | The virus mentioned is: Epstein-Barr virus | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_virus |
What is the relationship between the pathogens and diseases mentioned? | Please analyze the following medical literature and extract entities and relationships: | The relationships are:
- Bartonella henselae has relationship cat scratch disease | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_relationship |
How are the entities in this text related? | Please analyze the following medical literature and extract entities and relationships: | The relationships are:
- Streptococcus pyogenes has relationship acute glomerulonephritis | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_relationship |
What is the relationship between the pathogens and diseases mentioned? | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The relationships are:
- Borrelia burgdorferi causes erythema migrans
- Borrelia burgdorferi causes Lyme disease
- Borrelia burgdorferi causes Lyme arthritis | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_relationship |
Identify the diseases and conditions referenced in this text. | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The disease mentioned is: trachoma | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_disease |
What is the relationship between the pathogens and diseases mentioned? | The pathogenesis of viral-induced diabetes. Serologic case-control studies have suggested an association between coxsasckie group B viruses and insulin-dependent diabetes mellitus (IDDM). New investigations have identified enteroviral nucleic acid in the peripheral blood mononuclear cells of newly-diagnosed patients wi... | The relationships are:
- coxsasckie group B viruses has relationship insulin-dependent diabetes mellitus | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_relationship |
List all infectious agents discussed in this text. | Please analyze the following medical literature and extract entities and relationships: | The pathogens mentioned are:
Bacteria: Vibrio cholerae | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_all_pathogens |
How many diseases are referenced in this passage? | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | There are 2 disease(s) mentioned in the text. | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_count |
Identify the viruses referenced in this text. | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The viruss mentioned are: Hepatitis B virus, and HBV | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_virus |
List all medical conditions discussed in this passage. | Please analyze the following medical literature and extract entities and relationships: | The disease mentioned is: thrombocytopenia | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_disease |
List all infectious agents discussed in this text. | Exploring Treatments for a Rare Guillain-Barré Variant: A Case Report of Miller-Fisher Syndrome. The symptoms of Miller-Fisher syndrome (MFS) are a triad of areflexia, ataxia, and ophthalmoplegia. The condition is a rare variant of Guillain-Barré syndrome (GBS), an acute immune-mediated nerve disorder. Both conditions ... | The pathogens mentioned are:
Virus: 1. human immunodeficiency virus
2. Campylobacter jejuni
3. Epstein-Barr virus
4. Zika virus | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_all_pathogens |
Which viruses are associated with the diseases mentioned? | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The virus mentioned is: SARS-CoV | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_virus |
List all bacterial pathogens discussed in this passage. | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The bacterias mentioned are: Chlamydophila pneumoniae, and C. pneumoniae | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_bacteria |
Identify the bacterial organisms referenced in this text. | Please analyze the following medical literature and extract entities and relationships: | The bacteria mentioned is: Klebsiella pneumoniae | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_bacteria |
Identify the diseases and conditions referenced in this text. | Please analyze the following medical literature and extract entities and relationships: | The disease mentioned is: antibiotic-associated diarrhea | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_disease |
Identify the viruses referenced in this text. | Please analyze the following medical literature and extract entities and relationships: | The virus mentioned is: Epstein-Barr virus | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_virus |
List all parasitic organisms discussed in this passage. | Please analyze the following medical literature and extract entities and relationships: | The parasite mentioned is: Paragonimus westermani | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_parasite |
How are the entities in this text related? | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The relationships are:
- HIV-1 is a Human immunodeficiency virus type 1
- Human immunodeficiency virus type 1 causes HIV-positive
- Mycobacterium tuberculosis causes tuberculosis
- HIV-1 associated with Mycobacterium tuberculosis
- HIV-1 causes active tuberculosis
- M. tuberculosis causes tuberculosis
- IRIS is a immun... | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_relationship |
What diseases are mentioned in the text? | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The diseases mentioned are: pseudomembranous colitis, and C. difficile infection | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_disease |
Count the number of viruses mentioned. | Please analyze the following medical literature and extract entities and relationships: | There are 0 virus(es) mentioned in the text. | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_count |
What diseases are mentioned in the text? | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The diseases mentioned are: bacterial meningitis, invasive disease, acute purulent meningitis, fever, headache, neck stiffness, altered mental status, and invasive meningococcal disease | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_disease |
Describe the associations between pathogens and conditions. | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The relationships are:
- Influenza B virus causes pneumonia
- Influenza B virus causes bronchitis | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_relationship |
What diseases are mentioned in the text? | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The disease mentioned is: pericarditis | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_disease |
How are the entities in this text related? | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The relationships are:
- M. tuberculosis causes pulmonary tuberculosis
- M. tuberculosis causes miliary tuberculosis
- M. tuberculosis is a Mycobacterium tuberculosis | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_relationship |
What bacteria are mentioned in the text? | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The bacterias mentioned are: Neisseria meningitidis, and N. meningitidis | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_bacteria |
What bacteria are mentioned in the text? | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The bacteria mentioned is: Campylobacter jejuni | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_bacteria |
Identify the diseases and conditions referenced in this text. | Please analyze the following medical literature and extract entities and relationships: | The disease mentioned is: talaromycosis | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_disease |
How are the entities in this text related? | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The relationships are:
- MDR-TB is a Multidrug-resistant tuberculosis
- Mycobacterium tuberculosis complex causes Multidrug-resistant tuberculosis
- XDR-TB is a extensively drug-resistant tuberculosis
- Multidrug-resistant tuberculosis associated with mortality rates exceeding 50% | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_relationship |
Identify the diseases and conditions referenced in this text. | Please analyze the following medical literature and extract entities and relationships: | The disease mentioned is: tinea pedis | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_disease |
What diseases are mentioned in the text? | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The diseases mentioned are: dengue fever, severe dengue, dengue hemorrhagic fever, DHF, dengue shock syndrome, and DSS | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_disease |
What parasites are mentioned in the text? | Please analyze the following medical literature and extract entities and relationships: | The parasite mentioned is: Wuchereria bancrofti | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_parasite |
What fungi are mentioned in the text? | Please analyze the following medical literature and extract entities and relationships: | The fungus mentioned is: Malassezia furfur | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_fungus |
List all viral pathogens discussed in this passage. | Identification of antiviral RNAi regulators, ILF3/DHX9, recruit at ZIKV stem loop B to protect against ZIKV induced microcephaly. Zika virus (ZIKV) is a member of the Flaviviridae family and causes congenital microcephaly and Guillain-Barré syndrome. Currently, there is a lack of approved vaccines or therapies against ... | The viruss mentioned are: Zika virus, and ZIKV | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_virus |
What bacteria are mentioned in the text? | Please analyze the following medical literature and extract entities and relationships: | The bacteria mentioned is: Cryptosporidium | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_bacteria |
How many distinct pathogens are mentioned in the text? | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | There are 2 distinct pathogen(s) mentioned in the text. | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_count |
Describe the associations between pathogens and conditions. | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The relationships are:
- Schistosoma mansoni causes intestinal schistosomiasis
- S. mansoni is a Schistosoma mansoni
- Schistosoma mansoni causes hepatosplenomegaly
- Schistosoma mansoni causes portal hypertension
- Schistosoma mansoni associated with bladder cancer
- S. mansoni causes immune modulation
- S. mansoni as... | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_relationship |
What pathological states are described? | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The diseases mentioned are: Ebola virus disease, EVD, hemorrhagic fever, fever, fatigue, muscle pain, headache, sore throat, vomiting, diarrhea, rash, internal and external bleeding, disseminated intravascular coagulation, multi-organ failure, arthritis, uveitis, and neurological symptoms | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_disease |
Identify the viruses referenced in this text. | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The viruss mentioned are: Herpes simplex virus type 1, HSV-1, and HSV-2 | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_virus |
List all bacterial pathogens discussed in this passage. | Please analyze the following medical literature and extract entities and relationships: | The bacteria mentioned is: Clostridium tetani | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_bacteria |
List all medical conditions discussed in this passage. | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The diseases mentioned are: tuberculosis, HIV-positive, disease progression, immunosuppression, mycobacterial replication, HIV viral load, CD4+ T cell depletion, diagnostic challenges, atypical radiographic presentations, tuberculin skin test sensitivity, drug interactions, antiretroviral therapy, anti-tuberculosis med... | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_disease |
Which viruses are associated with the diseases mentioned? | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The viruss mentioned are: West Nile virus, and WNV | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_virus |
How are the entities in this text related? | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The relationships are:
- Salmonella enterica causes gastroenteritis
- Salmonella enterica causes bacteremia
- Salmonella enterica causes salmonellosis | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_relationship |
List all medical conditions discussed in this passage. | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The diseases mentioned are: gastroenteritis, Guillain-Barré syndrome, and campylobacteriosis | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_disease |
What pathogens (viruses, bacteria, fungi, parasites) are mentioned? | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The pathogens mentioned are:
Bacteria: Treponema pallidum subsp. pallidum, T. pallidum | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_all_pathogens |
Which bacteria are associated with the conditions mentioned? | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The bacteria mentioned is: Mycobacterium tuberculosis complex | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_bacteria |
Identify the viruses referenced in this text. | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The virus mentioned is: Rabies virus | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_virus |
List all bacterial pathogens discussed in this passage. | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The bacteria mentioned is: Clostridium perfringens | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_bacteria |
What pathological states are described? | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The disease mentioned is: aseptic meningitis | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_disease |
What pathological states are described? | Relationship between rheumatoid arthritis and Mycoplasma pneumoniae: a case-control study. OBJECTIVE: Rheumatoid arthritis (RA) has a complex and multifactorial aetiology. Infectious agents could start this disease. The majority of the characteristics of this infirmity can be observed in chronic arthritis produced by m... | The disease mentioned is: Rheumatoid arthritis | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_disease |
How many distinct pathogens are mentioned in the text? | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | There are 0 virus(es) mentioned in the text. | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_count |
Identify the fungal organisms referenced in this text. | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The fungus mentioned is: Mucor | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_fungus |
What is the relationship between the pathogens and diseases mentioned? | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The relationships are:
- NiV causes Nipah virus infection
- NiV is a Nipah virus | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_relationship |
List all infectious agents discussed in this text. | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The pathogens mentioned are:
Virus: Rabies virus, Rabies lyssavirus | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_all_pathogens |
Identify the viruses referenced in this text. | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The virus mentioned is: Measles virus | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_virus |
What diseases are mentioned in the text? | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The disease mentioned is: giardiasis | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_disease |
List all fungal pathogens discussed in this passage. | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The fungus mentioned is: Mucor | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_fungus |
Identify the bacterial organisms referenced in this text. | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The bacteria mentioned is: Rickettsia rickettsii | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_bacteria |
What diseases are mentioned in the text? | Please analyze the following medical literature and extract entities and relationships: | The disease mentioned is: Burkitt lymphoma | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_disease |
Which viruses are associated with the diseases mentioned? | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The virus mentioned is: Variola virus | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_virus |
List all parasitic organisms discussed in this passage. | Please analyze the following medical literature and extract entities and relationships: | The parasite mentioned is: Strongyloides stercoralis | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_parasite |
What diseases are mentioned in the text? | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The diseases mentioned are: pneumonia, and liver abscess | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_disease |
List all medical conditions discussed in this passage. | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The diseases mentioned are: Multidrug-resistant tuberculosis, MDR-TB, extensively drug-resistant tuberculosis, XDR-TB, drug-resistant TB, persistent cough, fever, night sweats, and weight loss | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_disease |
What pathological states are described? | Please analyze the following medical literature and extract entities and relationships: | The disease mentioned is: common cold | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_disease |
What bacteria are mentioned in the text? | Extract all medical entities (pathogens, diseases, evidence) and their relationships from the following text. Output as JSON. | The bacterias mentioned are: Escherichia coli O157:H7, Shiga toxin-producing E. coli, STEC, and E. coli O157:H7 | You are a medical entity recognition expert. Answer questions about entities in the provided medical text accurately and concisely. | entity_bacteria |
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