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MIT researchers have developed a machine-learning model that better selects molecule candidates for therapeutics, while also allowing for automated modification of the molecular structure for higher potency. The innovation has potential to speed up drug development. Courtesy of the researchers

Automating molecule design to speed up drug manufacturing

Designing new molecules for pharmaceuticals is primarily a manual, time-consuming process that’s prone to error. Frequently, scientists utilize expert knowledge and direct tweaking of particles,...
Novel approach to rechargeable batteries

Novel approach to rechargeable batteries

A sort of battery initially MIT. The battery, in light of cathodes made of sodium and nickel chloride and utilizing another sort of metal...