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Writing for Forbes, lecturer Guadalupe Hayes-Mota '08, SM '16, MBA '16 explores the role of artificial intelligence and biotechnology in transforming the healthcare industry specifically for venture capitalists (VCs). “The fusion of AI and biotechnology presents a wealth of opportunities for venture capitalists,” writes Hayes-Mota. “By staying attuned to emerging trends and adopting strategies for impactful investments, VCs can drive innovation and create transformative changes in healthcare.” 

BBC News

Prof. Hugh Herr joins the BBC’s Shiona McCallum to discuss a program by the K. Lisa Yang Center for Bionics aimed at bringing prosthetics to those who suffered forced amputations during the Sierra Leone Civil War. “When we train a young person on how to construct an arm or leg prothesis we’ve impacted the country for solidly forty years,” Herr says. “That person’s going to be living in that country and contributing to their community for a very long time. That’s exciting.” 


The Engine Ventures' CEO and Managing partner Katie Rae talks to Forbes’ Alex Knapp about its recent round of fundraising for investments in startups focused on sustainability, health and infrastructure. Rae also sees opportunities in quantum computing and other new hardware, saying “power and climate and compute all go together.” 

The Boston Globe

Katie Rae, CEO and managing partner of the Engine Ventures, speaks with Boston Globe reporter Aaron Pressman about The Engine Ventures’ third investment fund, which remains focused on “helping early-stage startups develop and commercialize ‘tough tech,’ which can include anything from fusion power generators to cement made without fossil fuels.” Rae notes: “You see this dynamism not just for climate, but for all things manufacturing, whether it’s biotech, whether it’s AI chips, it is about as an exciting moment as you could get for what we do.” 

The Washington Post

Prof. Regina Barzilay spoke at The Futurist Summit: The Age of AI – an event hosted by The Washington Post – about the influence of AI in medicine. “When we're thinking today how many years it takes to bring new technologies [to market], sometimes it's decades if we’re thinking about drugs, and very, very slow,” Barzilay explains. “With AI technologies, you've seen how fast the technology that you're using today is changing.”


Prof. Bob Langer and Prof. Giovanni Traverso have co-founded Syntis Bio, a biotech company that will use technology to “coat the stomach and potentially other organ surfaces, [change] the way that drugs are absorbed or, in the case of obesity, which hormones are triggered,” reports Allison DeAngelis for STAT

The Economist

Prof. Regina Barzilay joins The Economist’s “Babbage” podcast to discuss how artificial intelligence could enable health care providers to understand and treat diseases in new ways. Host Alok Jha notes that Barzilay is determined to “overcome those challenges that are standing in the way of getting AI models to become useful in health care.” Barzilay explains: “I think we really need to change our mindset and think how we can solve the many problems for which human experts were unable to find a way forward.”  


Forbes selects innovators for the list’s Healthcare & Science category, written by senior contributor Yue Wang. On the list is MIT PhD candidate Yuzhe Yang, who studies AI and machine learning technologies capability to monitor and diagnose illnesses such as Parkinson's disease.

Fast Company

In an article for Fast Company, Lecturer Guadalupe Hayes-Mota offers five takeaways concerning the potential impact of AI on healthcare. Understanding AI’s healthcare potential “is crucial for business leaders and policymakers to foster an environment where AI and other analytics tools enhance rather than complicate societal outcomes,” Hayes-Mota writes.


ShareAmerica reporter Lauren Monsen spotlights Prof. Dina Katabi for her work in advancing medicine with artificial intelligence. “Katabi develops AI tools to monitor patients’ breathing patterns, hear rate, sleep quality, and movements,” writes Monsen. “This data informs treatment for patients with diseases such as Parkinson’s, Alzheimer’s, Crohn’s, and ALS (amyotrophic lateral sclerosis), as well as Rett syndrome, a rare neurological disorder.”


Writing for Forbes, Senior Lecturer Guadalupe Hayes-Mota '08, SM '16, MBA '16 explains how transformative strategies in global healthcare are “reshaping the pharmaceutical market dynamics.” This new method “transcends traditional financial tactics representing a fundamental shift in global health practices towards sustainable and universal access to essential medicines,” writes Hayes-Mota.

New York Times

Prof. Amy Finkelstein speaks with New York Times reporter Sarah Kliff about “the impact of medical debt relief on individuals.” “The idea that maybe we could get rid of medical debt, and it wouldn’t cost that much money but it would make a big difference, was appealing,” says Finkelstein. “What we learned, unfortunately, is that it doesn’t look like it has much of an impact.”

Food Navigator

Prof. Joseph Doyle and his colleagues are studying whether type 2 diabetes could be treated or improved by nutrition, reports Donna Eastlake for Food Navigator.


MIT researchers have found that “when an AI tool for radiologists produced a wrong answer, doctors were more likely to come to the wrong conclusion in their diagnoses,” report Daniel Payne, Carmen Paun, Ruth Reader and Erin Schumaker for Politico. “The study explored the findings of 140 radiologists using AI to make diagnoses based on chest X-rays,” they write. “How AI affected care wasn’t dependent on the doctors’ levels of experience, specialty or performance. And lower-performing radiologists didn’t benefit more from AI assistance than their peers.”

Fast Company

Writing for Fast Company, Senior Lecturer Guadalupe Hayes-Mota '08, SM '16, MBA '16 shares methods to address the influence of AI in healthcare. “Despite these advances [of AI in healthcare], the full spectrum of AI’s potential remains largely untapped,” explains Hayes-Mota. “Systemic hurdles such as data privacy concerns, the absence of standardized data protocols, regulatory complexities, and ethical dilemmas are compounded by an inherent resistance to change within the healthcare profession. These barriers underscore the urgent need for transformative action from all stakeholders to fully harness AI’s capabilities.”