A new study, published in the Journal of Clinical Investigation, suggests that identifying distinct immune “signatures” in patients may help oncologists predict and prevent adverse events associated with immunotherapy. This observational study, reportedly the largest of its kind, prospectively enrolled 111 patients with solid tumors receiving immune checkpoint inhibitor (ICI) therapy at Johns Hopkins. Researchers…
The roadmap to effective AI-driven drug development
Generative artificial intelligence (GAI) has captivated the world, and for good reason. Platforms like ChatGPT have demonstrated capabilities that gave the general public a deeper understanding of AI’s capabilities. AI, too, is showing potential in drug discovery. From designing novel drug molecules to predicting protein structures, AI is offering a new path forward, potentially accelerating…
Beyond chemotherapy: The rise of precision medicine with radionuclide drug conjugates
Radionuclide Drug Conjugates (RDCs) hold the potential to transform cancer treatment by offering effective, precise treatment and diagnosis with minimal side effects. Regulators have already approved several RDCs around the world, and more are in the pipeline as researchers seek to further improve their efficacy, safety, and personalization. RDCs have evolved from other branches of…
Clinical trials have a diversity Problem. Real-world data could be part of the solution
While diversity in clinical trials has won attention in recent years, uneven representation of diverse populations in clinical trials remains a core barrier to global healthcare equity. Real-world data (RWD) paired with artificial intelligence techniques can almost instantly analyze how well drugs work in diverse subpopulations once they hit the market. RWD can also help…
Genentech’s lab in the loop aims to tap the power of quantity for quality drug discovery
We can design chips that power self-driving cars and create physically-realistic video footage based on text descriptions. Yet, as Genentech’s Aviv Regev pointed out in a session about the company’s lab in the loop at NVIDIA’s GTC conference, the humble cells within us operate with a complexity that still eludes our full understanding. It turns out that a cell is itself like a computational device…
Devices, disease, and digital: Holy Grail of healthcare AI
In episode 3 of AI Meets Life Sci, DeviceTalks Managing Editor Kayleen Brown and Pharma and Biotech Editor Brian Buntz sit down with GE HealthCare GM of Oncology Ben Newton and Haley Schwartz of Catalyze Healthcare to discuss the impacts of AI to screen, diagnose, prognose, and treat cure disease while addressing real-world implementation issues from regulation and liability to clinician trust and adoption. They review the AI…
Biden names 31 tech hubs: Here are 10 relevant to pharma and biotech
Traditionally, the tech and biotech sectors in the U.S. have been concentrated in a handful of regions — most notably in areas such as Boston, Seattle, Silicon Valley and Southern California. But the Biden administration aims to distribute innovation more evenly through the U.S. To that end, the administration has designated 31 tech hubs across…
CGT demands vision, partnership and patient-centricity to transform healthcare
As personalized medicine continues to progress, cell and gene therapy (CGT) development is poised to enable tremendous medical breakthroughs. Unlike traditional treatments which merely manage symptoms, CGT could treat the root biological cause of many diseases: the faulty genes. “The cell and gene therapy space is truly exciting. What this ultimately means for patients and…
Decoding Bayer’s digital health leap and its implications on drug discovery and personalized medicine
The German multinational pharma and biotech colossus Bayer is taking further steps to ramp up its focus on digital health by launching a new business unit. In 2022, Bayer invested $9.5 million in Woebot Health, an AI-powered behavioral health platform company. In 2020, it launched a venture known as G4A Digital Health Partnership Program to…
Deepcell’s REM-I platform marries AI with morphological analysis for drug discovery
From her early days as a research assistant at UCLA, to her work as a postdoctoral fellow at Stanford, Deepcell co-founder and CEO Maddison Mahdokht Masaeli has actively engaged in the field of biomedical engineering. Now, Masaeli and her team at Deepcell, a company she co-founded in 2017, are introducing a new strategy to drug…
AI in drug development: Janssen exploring potential of AI in everything from target discovery to clinical trials
As enterprise AI adoption surges, the life science industry stands at a pivotal juncture. “We are truly at a tipping point,” remarked Najat Khan, chief data science officer at Janssen, during the 2023 Stanford Drug Discovery Symposium. “It’s amazing how quickly we’ve been able to make progress across the whole value chain in terms of…
Pharmacovigilance in personalized medicine: Adapting to a new era of drug development
One of the ways that the COVID-19 pandemic had a profound impact on the pharma industry was how it highlighted the importance of pharmacovigilance. As personalized medicine gained traction, drug developers had to evolve their strategies to ensure safety and efficacy. In their report, “The Future of Pharmacovigilance,” Dr. Sabine Jeck-Thole and Ben Enejo, partners…