Datasets:
row_id
string | series_id
string | timepoint_h
int64 | host_model
string | drug
string | plasma_conc_mg_L
float64 | csf_conc_mg_L
float64 | expected_csf_conc_mg_L
float64 | csf_deviation
float64 | bbb_penetration_ratio
float64 | expected_bbb_ratio
float64 | ratio_deviation
float64 | neuro_marker_index
float64 | neuro_coherence_index
float64 | exposure_index
float64 | stress_index
float64 | later_severe_neuro_flag
int64 | assay_method
string | source_type
string | neuro_threshold_shift_signal
int64 | earliest_neuro_threshold_shift
int64 | notes
string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ABXHT005-TR-0001
|
S1
| 0
|
human_sim
|
cefepime
| 10
| 0.5
| 0.5
| 0
| 0.05
| 0.05
| 0
| 0.1
| 0.9
| 0.1
| 0.1
| 0
|
pk_csf_neuro_panel
|
simulated
| 0
| 0
|
baseline
|
ABXHT005-TR-0002
|
S1
| 12
|
human_sim
|
cefepime
| 12
| 0.6
| 0.6
| 0
| 0.05
| 0.05
| 0
| 0.12
| 0.88
| 0.85
| 0.9
| 0
|
pk_csf_neuro_panel
|
simulated
| 0
| 0
|
tracks expected
|
ABXHT005-TR-0003
|
S1
| 24
|
human_sim
|
cefepime
| 12
| 1.1
| 0.6
| 0.5
| 0.092
| 0.05
| 0.042
| 0.55
| 0.35
| 0.9
| 0.9
| 0
|
pk_csf_neuro_panel
|
simulated
| 0
| 0
|
first shift
|
ABXHT005-TR-0004
|
S1
| 36
|
human_sim
|
cefepime
| 12
| 1.3
| 0.6
| 0.7
| 0.108
| 0.05
| 0.058
| 0.62
| 0.3
| 0.9
| 0.9
| 0
|
pk_csf_neuro_panel
|
simulated
| 1
| 1
|
confirmed onset
|
ABXHT005-TR-0005
|
S1
| 72
|
human_sim
|
cefepime
| 12
| 2.4
| 0.6
| 1.8
| 0.2
| 0.05
| 0.15
| 0.85
| 0.2
| 0.9
| 0.9
| 1
|
pk_csf_neuro_panel
|
simulated
| 1
| 0
|
severe later
|
ABXHT005-TR-0006
|
S2
| 0
|
human_sim
|
meropenem
| 15
| 0.3
| 0.3
| 0
| 0.02
| 0.02
| 0
| 0.1
| 0.9
| 0.1
| 0.1
| 0
|
pk_csf_neuro_panel
|
simulated
| 0
| 0
|
baseline
|
ABXHT005-TR-0007
|
S2
| 24
|
human_sim
|
meropenem
| 16
| 0.32
| 0.32
| 0
| 0.02
| 0.02
| 0
| 0.12
| 0.86
| 0.9
| 0.9
| 0
|
pk_csf_neuro_panel
|
simulated
| 0
| 0
|
stable
|
ABXHT005-TR-0008
|
S2
| 48
|
human_sim
|
meropenem
| 16
| 0.33
| 0.33
| 0
| 0.021
| 0.02
| 0.001
| 0.12
| 0.84
| 0.9
| 0.9
| 0
|
pk_csf_neuro_panel
|
simulated
| 0
| 0
|
stable
|
ABXHT005-TR-0009
|
S3
| 0
|
human_sim
|
cefepime
| 10
| 1.8
| 0.5
| 1.3
| 0.18
| 0.05
| 0.13
| 0.7
| 0.3
| 0.9
| 0.9
| 1
|
pk_csf_neuro_panel
|
simulated
| 0
| 0
|
baseline ratio high
|
ABXHT005-TR-0010
|
S4
| 0
|
human_sim
|
cefepime
| 12
| 1.3
| 0.6
| 0.7
| 0.108
| 0.05
| 0.058
| 0.62
| 0.3
| 0.9
| 0.3
| 1
|
pk_csf_neuro_panel
|
simulated
| 0
| 0
|
stress low
|
ABX-HT-005 Neurotoxicity Threshold Shift
Purpose
Detect early neurotoxicity risk when blood-brain barrier penetration stops tracking plasma levels before severe neuro events.
Core pattern
- stress_index high
- exposure_index high
- neuro_coherence_index drops
- BBB ratio deviation stays high
- neuro_marker_index rises
- later_severe_neuro_flag appears
Files
- data/train.csv
- data/test.csv
- scorer.py
Schema
Each row is one timepoint in a within series time course.
Required columns
- row_id
- series_id
- timepoint_h
- host_model
- drug
- plasma_conc_mg_L
- csf_conc_mg_L
- expected_csf_conc_mg_L
- csf_deviation
- bbb_penetration_ratio
- expected_bbb_ratio
- ratio_deviation
- neuro_marker_index
- neuro_coherence_index
- exposure_index
- stress_index
- later_severe_neuro_flag
- assay_method
- source_type
- neuro_threshold_shift_signal
- earliest_neuro_threshold_shift
Labels
neuro_threshold_shift_signal
- 1 for rows at or after first confirmed threshold shift onset
earliest_neuro_threshold_shift
- 1 only for the first onset row in that series
Scorer logic in v1
- exclude series with high baseline BBB ratio
- candidate onset point
- stress_index at least 0.80
- exposure_index at least 0.80
- neuro_coherence_index at most 0.40
- ratio_deviation at least 0.04
- neuro_marker_index at least 0.50
- for two consecutive points
- ignore one point ratio spike then recovery artifacts
- confirmation
- later_severe_neuro_flag equals 1 later in series
Evaluation
Run
- python scorer.py --path data/test.csv
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