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| | | News and views you ought to know about: - The Zuckerbergs have many billions to give away. They want to shower a lot of it on researchers using AI to cure diseases. Meta head Mark and his wife, pediatrician Priscilla Chan, MD, announced their shift in concentration from social causes to medical AI this week. They made it official with a presentation at their Biohub Institute in Redwood City, Calif., Wednesday. The Biohub organization, which operates under the Chan Zuckerberg Initiative (CZI), has as its mission conducting research to ultimately cure, prevent or better manage all diseases by the end of this century. CZI does more than talk. It committed more than $7B in grants over the last decade, and the husband-wife team at the top has pledged to donate almost all their wealth through it before they’re done. Presently their philanthropic treasure chest contains something like $256B.
- At the Nov. 5 event, Zuckerberg and Chan said they would boost Biohub’s computing power from data centers tenfold by 2028 to “help with AI-powered biological research,” the New York Times and Washington Post reported. Specific projects they mentioned include a virtual cell mapping platform, a large language model that can perform biological reasoning and AI that analyzes genetic sequences to detect disease. Big picture, Biohub’s scientists will “aim to use AI to conduct virtual experiments at a larger scale and faster rate than currently possible in laboratory testing.”
- More from Chan and Zuckerberg:
- “Accelerating science is the most positive impact we think we can make. So we’re going all in on AI-powered biology for our next chapter. Going forward, Biohub will be our primary philanthropic effort and where we’ll dedicate the vast majority of our resources.”
- As ‘time is brain’ is to stroke care, so ‘time to value’ is to healthcare AI adoption. In fact, the latter is becoming the No. 1 way to evaluate offerings from healthcare AI startups. And you can swap in ROI for value without losing the gist. That’s the educated opinion of a partner in the growth equity firm Oak HC/FT, which concentrates on healthcare and fintech. (Hence HC/FT.) AI solutions hitting the market have to demonstrate tangible savings—reduced nurse staffing costs, increased revenue, stuff like that—and they need to do so relatively quickly, explains the thought leader, Vig Chandramouli, in remarks made to MedCity News. How quickly? Ideally six to nine months post go-live. “With ambient scribing solutions, version one was about burnout, reduction in pajama time and positive feedback from providers,” Chandramouli says. “Version two of that story, as renewals of those contracts are coming out, is all about hard dollar ROI—and hard dollar ROI sits in the front end revenue cycle.”
- Prisoners are patients too. Which is to say that healthcare AI stands to serve convicted criminals and the providers who care for them. This matters from a public health standpoint, as incarcerated populations are more beset than the general public by chronic conditions, substance abuse and, relatedly, mental illness. Despite the heightened healthcare need, these subpopulations have limited access to professional clinicians and, commonly, uncoordinated navigation of care pathways. Healthcare AI can help. “Predictive analytics, telemedicine and immersive digital therapies can transform how correctional health services operate—provided that ethical frameworks and human judgment remain central,” forensic psychologist Pia Puolakka writes in Correctional News. “Aligned with human rights and clinical integrity, ethical AI can ensure that prisoners — often among society’s most vulnerable — receive dignified, continuous and effective care.” Read the rest.
- The Covid-19 crisis demonstrated how AI can rise to a major healthcare challenge. Alas, it also showed how vulnerable digital healthcare is to cyberattack. For those with vigilant eyes to see, that period and the years since have brought into bold relief the need to pair healthcare AI with tight cybersecurity. An expert in both those fields makes the case in CSO. “Every AI model must have version control, validation sandboxes and rollback capabilities,” writes the authoritative cybercrime commentator, Rama Rama Devi Drakshpalli. “[C]ybersecurity in AI is not just about defense; it’s about resilience, the ability to detect, isolate and recover without losing functionality during crises.” Read it all.
- China is doing what it can to outpace the U.S. in AI capabilities. The Red Dragon’s competitive drive has been challenged by Nvidia’s America-centric focus, but that may be changing. Not only is China’s massive investment in energy starting to pay off, but its chipmaker Huawei is going gangbusters too. “China is striving for self-sufficiency across the AI stack, as it sees AI as a strategic technology for national and economic security,” Wendy Chang, senior analyst at the Mercator Institute for China Studies (MERICS), tells CNBC. To be sure, on a chip-per-chip basis, Huawei does not compete with Nvidia, tech correspondent Arjun Kharpal clarifies. Instead, Huawei’s advantage “comes from its ability to link and connect many of [its] chips into high-performance ‘clusters’ that can compete with Nvidia.” Get the rest.
- From AIin.Healthcare’s sibling news outlets:
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| | | Nabla launches Nabla Connect: The fastest way for any EHR to deliver world-class ambient AI
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