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AI in Drug Discovery

Machine learning, predictive models and computational biology: how AI is changing discovery workflows and probability of success.

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Flagship’s ProFound Signs Up To $35 Million Gates Foundation Pact For Preeclampsia TargetsAug 27, 2026

Flagship’s ProFound Signs Up To $35 Million Gates Foundation Pact For Preeclampsia Targets

Flagship Pioneering’s ProFound Therapeutics has partnered with the Gates Foundation in a pact worth up to $35 million focused on preeclampsia, a high-blood-pressure disease of pregnancy that can be fatal for mother or child if not addressed. The collaboration pairs ProFound’s proteomics repository with an agentic AI tool meant to help assign function to newly identified targets before laboratory validation.

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Autolomous CEO Argues AI Must Link Shared Failure Data In Cell And Gene Therapy, After Sarepta Safety SetbackAug 18, 2026

Autolomous CEO Argues AI Must Link Shared Failure Data In Cell And Gene Therapy, After Sarepta Safety Setback

The article frames cell and gene therapy as an ecosystem problem rather than a component problem, arguing that isolated work on vectors or gene-editing tools misses the bigger constraint. Its central claim is that AI’s value lies in processing and connecting live operational data across the therapy lifecycle, provided companies share more non-IP information about what fails.

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AI-Centric Biotechs Draw Billion-Dollar Backing, Pressuring Biopharma To Move Risk Checks UpstreamAug 12, 2026

AI-Centric Biotechs Draw Billion-Dollar Backing, Pressuring Biopharma To Move Risk Checks Upstream

Investor enthusiasm for companies such as Isomorphic Labs, Generate:Biomedicines and NewLimit is pushing biopharma to take machine learning more seriously across discovery and development. The clearest industry implication in the reporting is a shift from treating AI as a productivity tool to treating it as a way to identify failure earlier and allocate capital more selectively.

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QuantHealth Secures $45M to Revolutionize Clinical Trial Simulation With AIAug 5, 2026

QuantHealth Secures $45M to Revolutionize Clinical Trial Simulation With AI

In a notable stride for AI-driven health technology, QuantHealth has secured $45 million in Series B funding to further develop its simulation platform for clinical trials. By offering pharmaceutical companies predictive insights before real-world patient enrollment, QuantHealth is positioning itself as a solution to pervasive challenges within clinical development, such as elevated trial failure rates and sluggish time-to-market for new therapeutics.

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Grove AI’s Rapid Rise: From Startup to Acquisition, Transforming Clinical Trials with Voice TechnologyAug 1, 2026

Grove AI’s Rapid Rise: From Startup to Acquisition, Transforming Clinical Trials with Voice Technology

The healthcare industry witnessed one of its fastest success stories as Grove AI, a startup focused on AI-powered voice agents for clinical trial recruitment, was acquired by Hippocratic AI just two years after its founding. This deep dive profiles the technology, strategy, and market forces that shaped Grove AI’s journey and examines the broader implications for digital health innovation.

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AI Data Becomes Sticking Point in Biopharma DealmakingJul 22, 2026

AI Data Becomes Sticking Point in Biopharma Dealmaking

The rapid expansion of AI-driven drug discovery is accelerating the complexity of biopharma collaborations. As these partnerships multiply, legal and operational disputes related to data ownership and provenance are surfacing as central friction points, forcing both sides to reconsider deal structures and the future of therapeutic innovation.

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Other beats

Biopharmaceutical Industry

Drug development, clinical trials and industry dynamics. What changes timelines, risk and competitive positioning.

Biotech Innovation

Gene therapy, CRISPR, synthetic biology and emerging platforms. Separating what is real from what is hype, and what actually translates.

Healthcare Investment

Where capital is flowing and why the tape moves, across funding rounds, M&A, IPOs and market analysis.

Medical Technology

Digital health, diagnostics and medical devices, and the signals that matter for adoption, reimbursement and outcomes.

Regulatory & Policy

FDA actions, approvals, policy shifts and compliance: how the rules change timelines and probability.