docs(prfaq): update compound discovery paragraph opening

'Beyond physician support' → 'Looking further ahead'

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

PRFAQ.md

@@ -20,7 +20,7 @@ Candle-Fire changes this. A physician types a natural-language question — "Wha
 
 The system combines two layers of intelligence. A biomedical knowledge graph connects genes, proteins, compounds, pathways, and clinical trials extracted from 500 curated ALS papers, enabling the system to surface related biology that a keyword search would miss. A vector retrieval layer finds the most relevant passages from those papers and weights them by citation count, surfacing high-impact evidence over peripheral findings. Claude Sonnet synthesizes both into a physician-readable report, streamed in real time.
 
-Beyond physician support,  the team envisions Candle-Fire playing a longer-term role in accelerating compound discovery. When researchers can rapidly map which biological pathways remain poorly targeted, which compound classes have already been tested and failed, and where the strongest mechanistic evidence clusters, they gain a clearer picture of the white space worth pursuing. A system that continuously synthesizes the growing ALS literature — tracking which gene-compound relationships are well-evidenced and which are hypothetical — can serve as an early signal layer for drug discovery teams deciding where to focus preclinical investment. As the knowledge graph matures and the corpus expands, Candle-Fire's relationship network between compounds, targets, and mechanisms has the potential to surface novel combination hypotheses that no single research team could derive from manual review alone.
+Looking further ahead, the team envisions Candle-Fire playing a longer-term role in accelerating compound discovery. When researchers can rapidly map which biological pathways remain poorly targeted, which compound classes have already been tested and failed, and where the strongest mechanistic evidence clusters, they gain a clearer picture of the white space worth pursuing. A system that continuously synthesizes the growing ALS literature — tracking which gene-compound relationships are well-evidenced and which are hypothetical — can serve as an early signal layer for drug discovery teams deciding where to focus preclinical investment. As the knowledge graph matures and the corpus expands, Candle-Fire's relationship network between compounds, targets, and mechanisms has the potential to surface novel combination hypotheses that no single research team could derive from manual review alone.
 
 "ALS research moves fast, but the tools physicians use to stay current haven't kept up," said the Candle-Fire team. "We built this because the gap between what the research community knows and what a treating neurologist can practically access in a clinic visit is too wide."