Life Science Use Cases

The POC pipeline redesigns antibody CDRs using structural inputs, then uses an LLM to generate linkers and payloads that are evaluated by ADCnet to predict antibody drug conjugate effectiveness while keeping key design criteria in mind.

This video introduces an AI-driven clinical trial protocol workflow that generates, scores, and refines competing protocols, then produces aligned synthetic cohort data grounded in real-world evidence.

Salt's drug design workflow generates and validates protein candidates 22x faster, from PDB target loading through RF diffusion, AlphaFold screening, and HADUC docking—with molecules now in wet lab testing.

Salt's automated workflow transforms text queries into novel molecules by orchestrating LLMs, PubMed, and NCBI to extract proteins and generate new structures.

Walks through a PubMed-integrated Salt AI workflow for retrieving full-text research, comparing model outputs, and generating rapid insights on topics like AML therapeutics and Gilead’s new HIV drug.

Demonstrates how Salt AI models a McKinsey Biopharma team to design an agentic workflow for Merck R&D, focusing on basket trials like Keytruda to enhance adaptive trial capabilities.

Shows a McKinsey Biopharma team simulation for a Phase 3 breast cancer drug at Pfizer, detailing each role’s contribution to structuring questions, work planning, and output refinement.