This research roundup explores the role of sugar molecules in brain degeneration, a machine learning algorithm to detect diseases and a generative AI tool that can generate original genetic code.

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.

Unlocking the human genome: Innovative machine learning tool predicts functional consequences of genetic variants Model accelerates genetic research toward more tailored treatments Date: December ...

In a groundbreaking study published on January 18, 2024, in Cancer Discovery, scientists at University of California San Diego School of Medicine leveraged a machine learning algorithm to tackle ...

A new research paper titled "Genetic and therapeutic landscapes in cohort of pancreatic adenocarcinomas: next-generation sequencing and machine learning for full tumor exome analysis" has been ...

Genetic Subgroups of Follicular Lymphoma Can Be Distinguished by Machine Learning —Researchers recently identified 2 distinct genetic subgroups in follicular lymphoma, shedding light on the ...

While the process via which different types of neurons are produced, also known as neurogenesis, has been the focus of ...

Ways to detect a poisoned machine learning dataset The good news is that organizations can take several measures to secure training data, verify dataset integrity and monitor for anomalies to ...

New algorithm boosts multitasking in quantum machine learning Date: December 10, 2024 Source: Tohoku University Summary: When a quantum computer processes data, it must translate it into ...