Researchers also developed a clinical obesity polygenic score that combined information from numerous genetic variants, a score that was shown to be significantly associated with BMI,...
In this GEN webinar, Asimov’s VP of Business Development and Commercial Strategy Jamie Freeman, PhD, will show how Asimov combines bio-foundation models, AI agents, and synthetic...
In this GEN webinar, our expert speaker Josh Wheeler, MD, PhD, will discuss a biology-first, interpretable AI approach to understand patient tumor states and next-generation preclinical...
In this edition of STAT's AI Prognosis: What does Isomorphic Labs' high valuation say about AI's role in drug development, and the debate around AI and...
METiS TechBio’s AiLNP platform uses machine learning models to develop lipid nanoparticles with potentially better tissue specificity that could enhance a drug’s therapeutic performance.
Researchers have developed an AI model, trained on millions of facial images, that can directly predict survival risk in patients with cancer.
A multi-year collaboration will connect PacBio's HiFi sequencing with Verily Pre, combining long-read genomic and clinical data for biomedical research and AI model development. The post...
Viral infections can be difficult to treat because viruses evolve rapidly, allowing them to develop resistance to drugs designed to attack viral proteins directly.
A new iScience study introduces CSCC-PAG, a deep learning framework that combines domain-specific pre-training with self-supervised domain adaptation to improve cervical squamous cell carcinoma diagnosis across...
Danaher and Nvidia are collaborating to advance autonomous science, combining lab instrumentation, automation, and software with accelerated computing and AI so that experiments inform models and...
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