Transformational machine learning method may speed up drug discovery
November 2021
University of Cambridge, Cambridge, United Kingdom
The researchers have developed a new approach to machine learning (ML) that ‘learns how to learn’ and out-performs current ML methods for drug design, which in turn could accelerate the search for new disease treatments. The method, called transformational machine learning (TML) learns from multiple problems and improves performance while it learns. TML could accelerate the identification and production of new drugs by improving the machine learning systems which are used to identify them.
Transformational machine learning: Learning how to learn from many related scientific problems
Ross D. King
Added on: 03-10-2022
[1] https://www.pnas.org/doi/10.1073/pnas.2108013118[2] https://www.drugtargetreview.com/news/99773/transformational-machine-learning-method-may-speed-up-drug-discovery/?utm_source=Email+marketing&utm_medium=email&utm_campaign=DTR+-+Industry+Insight+-+Mol+Dev+-+Lab+Automation+-+04.03.22&utm_term=New+photonic+effect+could+accelerate+drug+screening+processes&utm_content=https%3a%2f%2femails.drugtargetreview.com%2frussellpublishinglz%2f&gator_td=VDZiHkx5PquostQ1WvkBcIfqUES3TFORGRUleDxHOvP8FtfBEROuOEzWTJi%2fHIaSUo5u5s%2bVLpXVCW6I3iMmJwTKaTut8Ayp7ZBC%2bzWNGOt5L3W%2brwKy1xwrIY2NDXK4jhOrVkvVDIi4u6v4i1T3BmP9aPwzopInjAdgxhJq3B2SA9fjhNb8Jf8Gc9jMxH90gV3H0KxrQHbFu4ds1acULt7beO0QIX497OA5MJgZ8Qmg%2f7fqwepHt8mvG5oyJPGM
