Prof. Shamim's group developed fully screen-printed, skin-friendly wet ECG electrodes with scaled-down PCBs and 3D-printed AoP. Minimal metal and gel usage, extended wireless range, and accurate data recording make them promising for clinical use.

Protocol boosts regenerative capabilities of stem cells previously wasted in transplant medicine.

Artificial skin coupled with sensors and machine learning technology allows people with voice disorders to communicate using soundless mouth movements.

Powered by logic and large language models, DeepGO-SE predicts the biological role of proteins and could be used to aid drug discovery.

Researchers in Prof. Xin Gao's group developed a machine-learning approach aimed at preserving privacy while analyzing omics data for medical research.

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