I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

University of Minnesota Twin Cities researchers have constructed a robot that uses machine learning to fully automate a complicated microinjection process used in genetic research.

First, the team built a machine-learning model to simulate how genes regulate each other in a cell. From there, they used large-scale selection experiments, known as genetic screens, to identify ...

Automation and machine learning are transforming antibody discovery at LabGenius, with the EVA™ platform enabling rapid, high-throughput experimental processes. Prof. Dr. Kristina Kusche-Vihrog ...

Novel machine learning method can improve genetic risk assessments for non-white populations Researchers have developed a scalable AI-based approach that makes use of genetic studies that include ...

BUFFALO, NY- February 14, 2024 – A new research paper was published in Oncotarget's Volume 15 on February 5, 2024, entitled, “Genetic and therapeutic landscapes in cohort of pancreatic ...

Genetic classification of follicular lymphoma . In this study, machine learning analyzed WGS data from 423 cases of de novo DLBCL, non-transformed FL, or paired pre- and post-transformation tumors ...

Using machine learning, they evaluated this information and identified 71 reproducible behavioral sequences that are the underlying building blocks for more complex behavior patterns. The transition ...

AI and Machine Learning The AI and Machine Learning major is one of two specialized majors in Purdue University’s 100% online Master of Science in Artificial Intelligence program. This major equips ...