Obesity
Pfizer's GLP-1 troubles continue
Pfizer said it was stopping development of a twice-daily oral obesity medication after an underwhelming clinical trial, a blow to the company's efforts to compete in the booming field of weight-loss medications.
The medicine, danuglipron, met its primary target in a placebo-controlled Phase 2b trial, leading to a statistically significant amount of weight lost, the company said. But the weight reductions were smaller than those seen in trials of rival medicines targeting the same GLP-1 pathway, and a high rate of patients experienced side effects and dropped out of the trial.
The results are a further setback in Pfizer's efforts to join the hot obesity market, which some analysts estimate could balloon to $100 billion. In June, Pfizer stopped trials of a once-daily GLP-1 pill because patients on the treatment had elevated liver enzymes.
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podcast
Are ADCs having a moment?
Is CAR-T safe? And who's to blame for failed trials? We cover all that and more this week on "The Readout LOUD," STAT's biotech podcast.
We discuss why AbbVie is spending $10 billion on a cancer-focused company that spent four decades on the path to its first FDA approval, a deal with implications for biotech in 2023 and for a burgeoning area in oncology. We also talk about the latest news in the life sciences, including safety concerns for CAR-T cancer treatment, the slumping industry job market, and some curious explanations for clinical failures.
Listen here.
drug discovery
J&J bets heavy on AI-driven drug discovery
Johnson & Johnson has made massive investments in artificial intelligence, with plans to use it for drug discovery. The company has hired about 6,000 data scientists in recent years, and spent hundreds of millions of dollars to use machine learning to make sense of enormous health datasets, the Wall Street Journal writes.
Despite the hype, there still are only wisps of validation in this space. It could be years before an AI-discovered drug makes it through the developmental pipeline and achieves approval. Still, J&J says it has an edge with its database, med.AI, which it says can rapidly recognize patterns to speed up drug development. This database includes anonymized information from standard patient visits to doctors and hospitals, as well as years of clinical trial results.
"AI and data science are going to be the heart of how we are transforming and innovating," Najat Khan, J&J's chief data science officer, told the WSJ. "The amount of data is increasing, the algorithms are getting better, the computers are getting better."
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