Variational quantum algorithms provide a direct, physics-based approach to protein structure prediction, but their accuracy is limited by the coarse resolution of the energy landscapes generated on current noisy devices. We propose a hybrid framework that combines quantum computation with deep learning, formulating str...
Yu-Qi Zhang, Yuxin Yang, Fei-Xiong Cheng et al.· ACM Transactions on Quantum...· 0 citations
This study compares two open-source pathology foundation models—TITAN and CHIEF—for ER, PR, and HER2 prediction on the publicly available TCGA-BRCA cohort, under a strict patient-level evaluation protocol with 10 random partitions and 95% confidence intervals.
This review examines how machine learning, deep learning, natural language processing (NLP), and generative modeling are being applied across medicinal chemistry and drug development, and highlights how multimodal data fusion, predictive modeling, and human-AI collaborative frameworks are supporting more informed decis...
Kaicheng U, Sophia Meixuan Zhang, Ziyu Yu et al.· Chemical Society Reviews· 0 citations
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