Why AI Alone Isn’t Enough for Oligonucleotide Discovery
Large-scale screening campaigns are essential as they provide the dense, reliable, datasets required to train AI models and extract meaningful insights for sequence and chemistry p...
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Large-scale screening campaigns are essential as they provide the dense, reliable, datasets required to train AI models and extract meaningful insights for sequence and chemistry p...
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...
Pun et al.’s recent review entitled “Target identification and assessment in the era of AI” in Nature Reviews Drug Discovery maps how artificial intelligence (AI) is widening targe...
Specific examples of AI/ML usage by pharma companies through the combination product development process
New AI‑designed miniproteins precisely modulate GPCR signaling and reveal a new "receptor diversion" microscopy-based screening system for targeting receptors long considered diffi...
AI guides molecular design by combining language models with traditional chemistry tools, helping plan reaction steps and decode mechanisms with expert-level strategic reasoning.
“Outliers are what you're going for,” Model Medicines CEO Daniel Haders, Ph.D., told Fierce to explain the company's AI-driven drug development strategy.
From designing drugs with a text prompt to XR-guided experiments, agentic AI is transforming the modern lab. NVIDIA GTC brought together life science leaders to discuss how these a...
A new tool is giving researchers a “data center full of genius Ph.D. students in their pocket.”
The drug discovery revolution is real but radically overstated, the health chatbots are a documented hazard, and the diseases that matter most remain stubbornly unsolved. At Novart...
Isomorphic Labs president Max Jaderberg said at WIRED Health in London that the startup has built a “broad and exciting pipeline of new medicines.”
The tech giant’s new AI platform aims to make drug discovery faster and cleaner.
Discovering viable new molecules is challenging due to the vastness of the search space. CoCoGraph uses a diffusion model, a technique common in image generation, to generate reali...
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...
Fragmented data limits even the most advanced oncology AI. Curated knowledge changes that.
10x Science has raised a $4.8 million seed round to help pharmaceutical researchers understand complex molecules.
Incyte and Edison Scientific have signed a collaboration to employ Edison’s AI scientist Kosmos in Incyte’s drug discovery and development work.
AWS's new AI platform grants researchers direct access to a broad library of biological foundation models for lab-in-the-loop drug discovery and brings enterprise-grade scale, priv...
Single-cell omics is reshaping drug discovery, but turning complex data into biological insight remains slow. AI may help close the annotation gap. The post AI in single-cell analy...
AWS, OpenAI, and Anthropic have customized general-purpose assistants into AI-powered workflows for science research, pointing to the growing role of cloud infrastructure and agent...
Automating electron microscopy experimental design with agentic AI
Both tools generate hypotheses; one goes on to analyze some of the data.
In a groundbreaking leap for neurodegenerative disease therapeutics, researchers have unveiled DeepDrugDiscovery, an innovative AI-driven screening platform designed to identify no...
Novo intends to “fully integrate” AI capabilities across its operations. Elsewhere, Regeneron made its first foray into radiopharmaceuticals and a GSK cancer drug showed early prom...
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