MIT Jameel Clinic

The MIT Abdul Latif Jameel Clinic for Machine Learning in Health (commonly, MIT Jameel Clinic; previously, J-Clinic) is a research center at the Massachusetts Institute of Technology (MIT) in the field of artificial intelligence (AI) and health sciences, including disease detection, drug discovery, and the development of medical devices. The MIT Jameel Clinic also supports the commercialization of solutions through grant funding, and has partnered with pharmaceutical companies, like Takeda and Sanofi, and philanthropies, like Community Jameel and Wellcome Trust, to forge collaborations between research and development functions and MIT researchers.^[1][2]

MIT Jameel Clinic

Established	2018
Field of research	Artificial intelligence and health
Directors	Regina Barzilay James J. Collins Dimitris Bertsimas
Chairs	Dan Huttenlocher Phil Sharp
Campus	Massachusetts Institute of Technology
Affiliations	MIT Schwarzman College of Computing
Nobel laureates	Phil Sharp
Website	jclinic.mit.edu

Co-founded in 2018 by MIT and Community Jameel,^[3] the MIT Jameel Clinic is housed in the MIT Schwarzman College of Computing. The mission of the Jameel Clinic is to "revolutionize the prevention, detection, and treatment of disease", and it describes itself as "the epicenter of AI and healthcare at MIT".^[4]

The MIT Jameel Clinic is known for using AI for the discovery of the antibiotics halicin and abaucin, and the development of early cancer detection platforms Mirai for breast cancer, and Sybil for lung cancer.

History

On September 17, 2018, the MIT Jameel Clinic was co-founded by MIT and Community Jameel, an organisation of the Jameel family, owners of the Abdul Latif Jameel business.^[5] The launch took place at a signing ceremony at MIT with MIT President L. Rafael Reif, and Fady Jameel and Hassan Jameel, then-presidents of Community Jameel.^[3][6] The MIT Jameel Clinic is the fourth major collaboration between MIT and Community Jameel, after the Abdul Latif Jameel Poverty Action Lab, the MIT Abdul Latif Jameel Water and Food Systems Lab, and the MIT Abdul Latif Jameel World Education Lab.^[3]

MIT-Takeda Program

On January 6, 2020, the MIT School of Engineering and Takeda, the pharmaceutical company, announced a new funding program to support research and education in AI and health. The MIT-Takeda Program is housed in the MIT Jameel Clinic. The steering committee for the program is led by Professor Anantha P. Chandrakasan, Dean of the School of Engineering, and Anne Heatherington, senior vice president and head of Data Sciences Institute (DSI) at Takeda.^[1][7][8]

Discovery of halicin

On February 19, 2020, the MIT Jameel Clinic's faculty leads for AI and life sciences, Professor Regina Barzilay and Professor Jim Collins, published a paper in Cell confirming the discovery—for the first time by deep learning—of halicin, the first new antibiotic compound for 30 years, which kills over 35 powerful bacteria, including antimicrobial-resistant tuberculosis, the superbug C. difficile, and two of the World Health Organization's top-three most deadly bacteria.^{[9][10][11][12][13]}

AI Cures initiative

In 2020, during the COVID-19 pandemic, the MIT Jameel Clinic launched the AI Cures initiative to apply AI techniques to the discovery of effective therapeutics for the disease, and the development of medical devices. The AI Cures initiative is in partnership with the Patrick J. McGovern Foundation, the Defense Advanced Research Projects Agency (DARPA), and the Walter Reed Army Institute of Research (WRAIR).^[14]

In September and October 2020, the MIT Jameel Clinic convened two conferences, on data-driven clinical solutions for COVID-19, and on drug discovery.^[15][16]

Audacious Project award

In June 2020, The Audacious Project (formerly the TED Prize), housed at TED and supported by The Bridgespan Group, selected Professor Collins and an MIT Jameel Clinic team, including Professor Barzilay, for funding. Building on the halicin discovery, the Audacious Project funding will support the MIT Jameel Clinic's response to the antibiotic resistance crisis through the development of new classes of antibiotics to protect patients against some of the world's deadliest bacterial pathogens.^[17][18]

Ragon Institute collaboration

In July 2021, a gift from Mark Schwartz enabled the MIT Jameel Clinic to partner with the Ragon Institute (a collaboration between Massachusetts General Hospital, Harvard University and MIT) and the MIT Schwarzman College of Computing to create a collaborative initiative for AI and immunology.^[19]

Jameel Clinic AI Hospital Network

With a GBP 3.5m grant from Wellcome Trust, the MIT Jameel Clinic is teaming up with hospitals around the globe to bring AI into mainstream healthcare.^[20][21][22] To date, the network has extended to 41 hospitals in 13 countries.^[22] In providing free access to AI tools, the Jameel Clinic aims to contribute the expertise of its researchers to empower healthcare systems by accelerating the mainstream usage of AI tools on a global scale.^[22]

Discovery of abaucin

On 25 May 2023, the MIT Jameel Clinic's faculty leads for life sciences, Jim Collins, and for AI, Regina Barzilay, and colleagues published a paper in Nature Chemical Biology announcing the deep learning-guided discover of abaucin, an antibiotic targeting Acinetobacter baumannii, one of the WHO's top-three deadliest bacteria in the world.^[23][24][25]

Faculty and governance

Leadership

The MIT Jameel Clinic leadership comprises three faculty leads:

• Professor Regina Barzilay, faculty lead for AI
• Professor Jim Collins, faculty lead for life sciences
• Professor Dimitris Bertsimas, faculty lead for entrepreneurship

The faculty leads are supported by the Jameel Clinic staff, and coordinate with the Dean of the MIT Schwarzman College of Computing, Daniel P. Huttenlocher.^[26][27]

Advisory board

The MIT Jameel Clinic is supported by an advisory board, chaired by Professor Phil Sharp, winner of the 1993 Nobel Prize in Physiology or Medicine, Institute Professor, former director of the Koch Institute for Integrative Cancer Research and the McGovern Institute for Brain Research, and co-founder of Biogen.^[28]

Other members of the advisory board are:

• Noubar Afeyan, managing director and CEO of Flagship Pioneering
• Jay Bradner, president of the Novartis Institutes for BioMedical Research
• Lord Ara Darzi, Paul Hamlyn Chair of Surgery at Imperial College London
• Anne Heatherington, senior vice president and head of the Data Sciences Institute, Takeda
• Susan Hockfield, president emerita and professor of neuroscience at MIT
• Mathai Mammen, head of research and development at Janssen Pharmaceutical Companies
• Kiran Mazumdar-Shaw, chairman and managing director of Biocon
• Terry Ragon, CEO and owner of InterSystems^[26]

Former members of the advisory board include:

• Anantha P. Chandrakasan, dean of the School of Engineering and professor of electrical engineering and computer science at MIT

References

1. "MIT School of Engineering and Takeda join to advance research in artificial intelligence and health". MIT News | Massachusetts Institute of Technology. Retrieved 2020-11-12.
2. "Jameel Clinic teams up with Sanofi on AI and machine learning". Drug Discovery News. Retrieved 2021-01-27.
3. "Abdul Latif Jameel Clinic for Machine Learning in Health at MIT aims to revolutionize disease prevention, detection, and treatment". MIT News | Massachusetts Institute of Technology. Retrieved 2020-11-12.
4. "Jameel Clinic | AI & Healthcare at MIT". Jameel Clinic. Retrieved 2020-11-12.
5. "Community Jameel | Innovating for a better future". Community Jameel | Innovating for a better future. Retrieved 2020-11-12.
6. "New Jameel Clinic to harness machine learning tech". Arab News. 2018-09-25. Retrieved 2020-11-12.
7. analytica, TOKYO (2020-01-07). "武田薬品とMITがAI研究を推進するプログラムを発表 | 医療とAIのニュース・最新記事 - The Medical AI Times". The AI Times (in Japanese). Retrieved 2020-11-12.
8. "MIT, Takeda collaborate on new healthcare AI applications". Healthcare IT News. 2020-01-06. Retrieved 2020-11-12.
9. Stokes, Jonathan M.; Yang, Kevin; Swanson, Kyle; Jin, Wengong; Cubillos-Ruiz, Andres; Donghia, Nina M.; MacNair, Craig R.; French, Shawn; Carfrae, Lindsey A.; Bloom-Ackermann, Zohar; Tran, Victoria M. (2020-02-20). "A Deep Learning Approach to Antibiotic Discovery". Cell. 180 (4): 688–702.e13. doi:10.1016/j.cell.2020.01.021. ISSN 0092-8674. PMC 8349178. PMID 32084340.
10. "Artificial Intelligence Yields New Antibiotic". The MIT Campaign for a Better World. Retrieved 2020-11-12.
11. Murgia, Madhumita (February 20, 2020). "AI discovers antibiotics to treat drug-resistant diseases". Financial Times. Retrieved 12 November 2020.
12. "Powerful antibiotic discovered using machine learning for first time". the Guardian. 2020-02-20. Retrieved 2020-11-12.
13. Marchant, Jo (2020-02-20). "Powerful antibiotics discovered using AI". Nature. doi:10.1038/d41586-020-00018-3. PMID 33603175. S2CID 214135545.
14. "Home". AI Cures. Retrieved 2020-11-12.
15. "Events". Jameel Clinic. Retrieved 2020-11-12.
16. "AI Cures: data-driven clinical solutions for Covid-19". MIT News | Massachusetts Institute of Technology. Retrieved 2020-11-12.
17. "Jim Collins receives funding to harness AI for drug discovery". MIT News | Massachusetts Institute of Technology. Retrieved 2020-11-12.
18. 재발행, Plato에 의해. "짐 콜린스, 약물 발견을 위해 AI를 활용하기위한 자금 지원 |" (in Korean). Retrieved 2020-11-12.
19. "Supercharging Immunology Research". Ragon Institute of MGH, MIT and Harvard. Retrieved 2021-08-30.
20. "222396/Z/21/Z". Wellcome. Retrieved 2023-12-16.
21. "The Potential of Artificial Intelligence to Bring Equity in Health Care". MIT for a Better World. Retrieved 2023-12-16.
22. "Hospital Network – MIT Jameel Clinic". Retrieved 2023-12-16.
23. Stokes, Jonathan M.; Collins, James J.; Liu, Gary; Catacutan, Denise B.; Rathod, Khushi; Swanson, Kyle; Jin, Wengong; Mohammed, Jody C.; Chiappino-Pepe, Anush; Syed, Saad A.; Fragis, Meghan; Rachwalski, Kenneth; Magolan, Jakob; Surette, Michael G.; Coombes, Brian K.; Jaakola, Tommi; Barzilay, Regina (25 May 2023). "Deep learning-guided discovery of an antibiotic targeting Acinetobacter baumannii". Nature Chemical Biology. 2023. doi:10.1038/s41589-023-01349-8. Retrieved 28 May 2023.
24. Trafton, Anne (25 May 2023). "Using AI, scientists find a drug that could combat drug-resistant infections". MIT News. Retrieved 28 May 2023.
25. Gallagher, James (25 May 2023). "New superbug-killing antibiotic discovered using AI". BBC. Retrieved 28 May 2023.
26. "People". Jameel Clinic. Retrieved 2020-11-12.
27. "Regina Barzilay, James Collins, and Phil Sharp join leadership of new effort on machine learning in health". MIT News | Massachusetts Institute of Technology. Retrieved 2020-11-12.
28. "Phillip A. Sharp". MIT Department of Biology. Retrieved 2020-11-12.