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MIT-Takeda Program Concludes with 16 Publications, Patent, and Nearly Two Dozen Completed Projects
Emma Wordsmith
When Takeda Pharmaceutical Co. and the MIT School of Engineering initiated their partnership in February 2020, focusing on artificial intelligence in health care and drug development, society was on the verge of a globe-altering pandemic, with AI not yet being the popular buzzword it is today.
As the initiative comes to an end, the global landscape looks significantly altered. AI has emerged as a game-changing technology across sectors such as health care and pharmaceuticals. The pandemic has reshaped how businesses approach health care and transform their strategies for developing and marketing medicines.
For both MIT and Takeda, the collaboration has been revolutionary.
At its inception, the partners aimed to address real-world issues with the program. Upon its conclusion, the initiative has generated a reservoir of fresh research papers, discoveries, and insights, including securing a patent for a system that enhances the manufacturing process of small-molecule medicines.
In essence, this program has laid the groundwork for a future where AI and machine learning take a central role in medicine, combining Takeda’s expertise in biopharmaceuticals with the deep knowledge of AI and machine learning possessed by MIT researchers.
“The MIT-Takeda Program has had a significant impact and exemplifies the possibilities when industry experts and academia collaborate to craft solutions,” states Anantha Chandrakasan, MIT’s chief innovation and strategy officer, dean of the School of Engineering, and the Vannevar Bush Professor of Electrical Engineering and Computer Science. “Beyond advancing the utilization of AI and machine learning in health care, the program has opened up new horizons for MIT faculty and students through fellowships, funding, and networking.”