AI in drug development
Artificial Intelligence
MIT scientists debut a generative AI model that might create molecules addressing hard-to-treat diseases
Greater than 300 people across academia and industry spilled into an auditorium...
Artificial Intelligence
A brand new generative AI approach to predicting chemical reactions
Many attempts have been made to harness the ability of latest artificial...
Artificial Intelligence
AI system predicts protein fragments that may bind to or inhibit a goal
All biological function relies on how different proteins interact with one another....
Artificial Intelligence
Google’s AI ‘Co-Scientist’ Tool: Revolutionizing Biomedical Research
In the sector of biomedical research, transforming a hypothesis right into a tangible discovery is commonly a lengthy and expensive process. On average, developing a brand new drug can take over a decade and...
Artificial Intelligence
Accelerating particle size distribution estimation
The pharmaceutical manufacturing industry has long struggled with the difficulty of monitoring...
Artificial Intelligence
Beyond the Hype: Unveiling the Real Impact of Generative AI in Drug Discovery
Since Insilico Medicine developed a drug for idiopathic pulmonary fibrosis (IPF) using generative AI, there's been a growing excitement about how this technology could change drug discovery. Traditional methods are slow and expensive, so...
Artificial Intelligence
MIT-Takeda Program wraps up with 16 publications, a patent, and nearly two dozen projects accomplished
When the Takeda Pharmaceutical Co. and the MIT School of Engineering launched...
Artificial Intelligence
When an antibiotic fails: MIT scientists are using AI to focus on “sleeper” bacteria
For the reason that Nineteen Seventies, modern antibiotic discovery has been experiencing...
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