A machine learning model generated by a team from the European Society for Blood and Marrow Transplantation (EBMT) ...
while potentially unhealthy or changing cells emitted different light patterns. "Analyzing the data was what took the most time," said Nadeem. "That's where integrating machine learning came into ...
By analysing huge amounts of biological data, the use of machine learning accelerates the identification of critical control ...
Complex materials such as organic semiconductors or the microporous metal-organic frameworks known as MOFs are already being ...
The first time Dr. Fajgenbaum repurposed a drug, it was in an attempt to save his own life. At 25, while in medical school, ...
IntuiCell says technology represents ‘paradigm shift’ in AI and robotics than can scale to human-level intelligence ...
In the lab, perovskite solar cells show high efficiency in converting solar energy into electricity. In combination with silicon solar cells, they could play a role in the next generation of ...
Giving students a peek at the math under the hood of AI can help them understand the potential power and pitfalls of the ...
This review discusses the current state of multicancer early detection tests, the role of machine learning in their ...
Researchers from First Affiliated Hospital of Zhengzhou University published results from a study that aimed to investigate the mechanisms by which programmed cell death and mitochondrial function ...
Scientists have recently detailed how automation and machine learning can aid clinicians treating patients with spreading depolarizations, sometimes referred to as 'brain tsunamis.' ...