From experiment to insight: how Dotmatics Luma and Databricks make AI-ready science a reality
DatabricksThe gap between scientific data and scientific insightModern scientific workflows...
#healthcare life sciences
6 posts
16 Jul
10 Jul
Ambulatory care, the outpatient clinics and physician practices where most patients...
30 Jun
Computational chemistry researchers have traditionally faced a frustrating trade-off when simulating molecular interactions: use fast classical force fields that sacrifice precision or rely on accurate quantum-mechanical methods that run too slowly on large jobs. Machine-learned force fields (MLFFs) close that gap by training neural networks on high-fidelity quantum data. When it comes to modern drug discovery and materials design, though,…
24 Jun
What If the Answer Was Already in Your Data?Kythera Labs is building an AI-native...
23 Jun
Genesis Workbench: A blueprint for industry AI in life sciences, powered by Databricks and NVIDIA
DatabricksBringing GPU-accelerated drug discovery to your dataLife sciences leaders need domain-specific,...
11 Jun
While there holds great promise for AI agents to transform the healthcare industry, for agents to be successful...