Using machine learning for medical solutions
Master’s student and Marshall Scholar Kyle Swanson uses computer science to help make drug development more efficient.
Master’s student and Marshall Scholar Kyle Swanson uses computer science to help make drug development more efficient.
Study suggests an alternative way to treat tumors that are dependent on the cancer-promoting Myc protein.
Studies could speed the development of new treatments for liver disease.
New test rapidly evaluates the effect of drugs and potentially toxic compounds on cells.
Health Analytics Collective uses real-world evidence to modernize health and drug development decisions.
Honor shared with John Hartwig of the University of California at Berkeley for their development of a process to improve the synthesis of large organic molecules.
Altered peptides from a South American wasp’s venom can kill bacteria but are nontoxic to human cells.
Simple method for linking molecules could help overcome drug resistant infections.
Neural network that securely finds potential drugs could encourage large-scale pooling of sensitive data.
New approach generates a wider variety of protein sequences optimized to bind to drug targets.
System can be rapidly reconfigured to produce a variety of protein drugs.
System makes it easier to produce new molecules for myriad applications.
Hydrogen peroxide-sensing molecule reveals whether chemotherapy drugs are having their intended effects.
New technology could lead to development of novel “xenoprotein” drugs against infectious diseases.
Nanoparticles could offer a new way to help eradicate the disease worldwide.