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-age-gap prediction algorithms applicable to Asian populations by integrating large-scale plasma proteomic datasets generated using the Olink and SomaScan platforms. The organ age gap is defined as the
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to disease prediction and prevention. Through our Team Science approach, we have achieved breakthrough discoveries in five key areas: neuromodulation (reinforcement learning), critical period mechanisms
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dynamics, operator-theoretic analysis, or systems control engineering for the research project, “Quantum nonlinear dynamics theory for understanding, prediction, and control of quantum dynamics ” (Principal
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objective prediction of biological aging, but also the improvement of age-related phenotypes such as cognitive decline, muscle weakness, bone density loss, and kidney dysfunction. Our research is particularly