medicine
How AI could transform cancer treatment and medicine
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AI Has Human Doctors Asking: What's Left for Us?
AI Has Human Doctors Asking: What's Left for Us? A recent paper argues that AI is often better at doctoring than doctors. Don't be fooled by the question mark in the title of an article published this month in the Journal of the American Medical Association. When the authors, including medical superstar Ezekiel Emanuel and venture capitalist Vinod Khosla, asked, " Will Autonomous AI Exceed AI-Physicians as the Best Medical Care? " they were being rhetorical. Their answer is an emphatic YES.
The Rise of Telehealth 'Pill Mills'
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What happens when medical students rely on AI – and never develop their own judgment? Simar Bajaj and Joseph Sakran
'Patients will need doctors who can stand apart from the machine long enough to know when it is wrong, incomplete, or right for the wrong reason.' 'Patients will need doctors who can stand apart from the machine long enough to know when it is wrong, incomplete, or right for the wrong reason.' What happens when medical students rely on AI - and never develop their own judgment? AI's danger isn't just in experts losing the ability to reason. It's that trainees may never learn how to do so in the first place I n healthcare, there's growing concern over doctors becoming less clinically adept as they increasingly rely on AI tools.
How AI helps scientists design the next generation of medicines
As generative AI captures public attention, a different kind of AI is reshaping drug discovery. Machine learning models are helping to compress decade-long timelines and cracking problems that were previously unsolvable. Designing and developing a new medicine is an expensive, failure-prone scientific challenge. A new drug can take many years to develop, at the cost of a significant investment. And even then, most possible candidates never reach the patient. For biologic medicines, therapies made from engineered proteins rather than synthetic chemistry (which are often used to treat conditions across most major acute and chronic diseases), the complexity is even greater.