Cancer models developed with 3D bioprinting technology allow for rapid evaluation of individual drug responses.

One DeepHermes-3 user reported a processing speed of 28.98 tokens per second on a MacBook Pro M4 Max consumer hardware.

A novel 3D bioprinted gastric cancer model using patient-derived tissues predicts drug responses, enhancing personalized ...

UDRI researchers provide comprehensive capabilities in design, modeling, fabrication and processing development, and characterization of responsive ... by materials and develop life prediction models ...

Nervecentre: Renowned for its real-time mobile-based EHR systems that improve hospital operational efficiency and clinician decision-making processes. IMS MAXIMS: A leading innovator in scalable, ...

A collaborative research team from POSTECH has successfully developed a gastric cancer model using 3D bioprinting technology ...

Guided by the three-element theory of attitude in social psychology, the model assesses public attraction to specific ...

A collaborative research team led by Professor Jinah Jang from the Department of Mechanical Engineering and the Department of ...

Scientists have successfully developed a gastric cancer model using 3D bioprinting technology and patient-derived cancer tissue fragments. This innovative model preserves the characteristics of actual ...

The development of frontier AI models has exposed critical gaps in existing risk management approaches. While AI companies ...

£320,000 in funding will be used to develop a new way to measure and understand the impact of public health initiatives ...

In a survey report from Percona, 75% of Redis users said they were either actively testing, considering or had already ...