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Researchers used two AI systems, Robin and Co-Scientist, to collapse the timeline from idea to drug candidate. The post AI Lab Partners Are Rewiring the Hunt for New Drugs appeared...
AI will continue changing how small molecules are discovered, but the candidates that generate the most interest in silico still have to succeed under real development conditions....
AI can speed up drug discovery and decrease attrition rates in the clinic, but it is important to recognize that both are tall orders. The companies that will benefit most are thos...
Artificial Intelligence Revolutionizes Cancer Drug Discovery, Paving the Way for Next-Generation Therapies The arduous journey of developing effective cancer drugs, marked by high...
AI can now predict molecular changes over time, potentially accelerating drug testing and helping identify promising treatments faster and more accurately.
New AI‑designed miniproteins precisely modulate GPCR signaling and reveal a new "receptor diversion" microscopy-based screening system for targeting receptors long considered diffi...
We should ask a more nuanced question than “does AI work in drug discovery.” Rather, we should ask which approaches are about to be proven, and which are about to be exposed, becau...
Insilico Medicine, a clinical-stage generative AI drug discovery company, has announced a multi-target strategic alliance with Bora Pharmaceuticals, a global pharmaceutical manufac...
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AI is accelerating discovery, but only when paired with expert insight and trusted data. Hear how leaders are rethinking decision-making in biopharma.
Discover why animal models fall short in AI drug discovery and how human-first datasets are changing that. The post How human-first datasets are reshaping AI drug discovery appeare...
David Baker’s latest company is making medicines for a huge protein family once deemed undruggable. A new study generated miniproteins that target GPCRs across a diversity of recep...
The physical AI system, named AI Experimentalist, translates research goals from natural language into executable workflows that span the entire experimental cycle, from literature...
Drug discovery is notoriously inefficient. Pharmaceutical projects span years, moving from one specialized human team to the next through disconnected workflows that result in know...
Researchers used AI to discover antibiotic-like molecules inside prion and prion-like proteins, including candidates that reduced A. baumannii burden in mice, with efficacy compara...
Creating AI platforms to discover new therapeutics
A new AI-ready data framework could accelerate catalyst discovery, supporting cleaner energy and more sustainable chemical processes.
Automating electron microscopy experimental design with agentic AI
by Daniel S. Berman, Libby M. Lewis, Tom D. Curtis, Olivia N. Tiburzi, Daniel F. Q. Smith, Arturo Casadevall, Laura J. Dunphy Emerging fungal pathogens represent a concerning thre...
Both tools generate hypotheses; one goes on to analyze some of the data.
A Nobel laureate’s decades-long commitment to open science is reshaping biotechnology in the AI era. Deep learning methods can now design novel proteins across pharmaceuticals, vac...
Investors unpack what it takes to succeed in an increasingly crowded AI biology ecosystem. The post Pharma Races to Scale AI as Billions Flow into Drug Discovery appeared first on...
Researchers have developed a new AI approach to select chemical compounds that can penetrate the bacterial membrane to treat tuberculosis, one of the world’s deadliest single-agent...
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