![Researchers at UC Berkeley and City of Hope have developed a machine-learning platform to identify individuals susceptible to breast cancer based on mechanical properties of single cells. This photo depicts the MechanoAge platform. [Credit: Adam Lau/Berkeley Engineering]](https://www.europesays.com/ie/wp-content/uploads/2026/04/Low-Res_20220909_Sohn_AVL_0516-1-380x220.jpg)
AI Learns to Predict Breast Cancer Risk from How Single Cells Respond to Pressure
Researchers at UC Berkeley and City of Hope have developed a machine-learning platform to identify individuals susceptible to…
Space Biology: CBIOMES Preflight Microscopic Imagery Of C. elegans
Preflight microscopic image of C. elegans worms expressing fluorescent labels, reporting on changes in gut, nerve, and muscle…
New nanoparticle separation method boosts biotech and cancer research
In nanoscale particle research, precise control and separation have long been a bottleneck in biotechnology. Researchers at the…
Physics-defying oil droplets hover, move against liquid flow in a first
In a world first, scientists in Germany have successfully recorded tiny oil droplets hovering within a flowing liquid,…
Local anesthetic lidocaine may mitigate pancreatic cancer metastasis
Pinned between the stomach and spine, the pancreas supervises both digestion and blood sugar in the body. It’s also the…
Microsoft (MSFT) Unveils Microfluidic Cooling Technology for Data Centers
Microsoft Corporation (NASDAQ:MSFT) is one of the Buzzing AI Stocks on Wall Street. On September 23, the company announced…
New microfluidics-based workflow enables high-resolution lipid imaging in C. elegans
Understanding how fat molecules are distributed and function in living organisms is key to uncovering mechanisms of aging,…