Artificial intelligence
Breakout Ventures’ focus on early-stage companies stands out as more and more investors elect to save their dollars for derisked assets.
Single-trial approvals are raising the bar on trial design and execution. The new paradigm is pushing sponsors to plan earlier, step up their data and risk‑based quality management and use modeling and AI to generate one compelling, regulator‑ready evidence package.
Generate:Biomedicines has hit the public markets as the world begins to question the usefulness of AI technology. CEO Mike Nally says biology is the key to unlocking the technology’s full potential.
While you should never rely solely on AI tools when applying for jobs, they can greatly benefit the application process. Recruiting expert Bryan Blair discusses how using large language models can set you apart from the competition and includes a prompt framework to get you started.
In this episode of Denatured, Jennifer C. Smith-Parker speaks with Dr. Rob Monroe and Jennifer Fakish at Danaher Corporation. They discuss how antibody drug conjugates (ADCs) are transforming cancer care. With AI-powered pathology, doctors can now measure HER2 more precisely to match patients with the best treatments.
Pfizer, Eli Lilly, Novartis, Bristol Myers Squibb and AstraZeneca are all ramping up the use of AI, but drug discovery is not the primary success story—yet.
As next-generation antibody-drug conjugates reshape cancer care, digital pathology and artificial intelligence are transforming how HER2 is measured. The advances aim to help clinicians identify low and ultra-low expressors, match patients to the right therapies and make more precise treatment decisions.
Regulatory challenges have been even more top of mind than usual given recent upheaval at the FDA. BioSpace spoke to three industry experts about key issues, which include applying new artificial intelligence guidance. The experts also shared advice for working with regulators.
After years of contraction, investors see biotech reentering a growth cycle driven by scientific progress, asset quality and renewed conviction in oncology, obesity and neuroscience innovation.
Together with robust data-driven modeling, rethinking regulation and data use could push forward a notoriously challenging field.
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