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Monthly Dosing of Consolidation Durvalumab Is Key in Stage III NSCLC Molecular Testing and Multidisciplinary Care Is A Necessity in Metastatic NSCLC Active Engagement of Pulmonology Is a Must in the Multidisciplinary Management of Lung Cancer Biomarker Discovery and Testing Are Key to ...
However, toxicity remains a key issue in the development of these agents, and better understanding and management of ADC-related toxicities will be essential for further optimization. This Review provides a broad overview of the recent advances and challenges in ADC development for cancer treatment. ...
making computer-aided drug discovery possible,” said Kimberly Powell, vice president of healthcare at NVIDIA. “By helping healthcare companies easily build and manage AI solutions, we’re enabling them to harness the full power and potential of generative AI.” ...
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When applied to hypoxic lung, discovery proteomics not only has the potential to provide insight into the key effectors of lung inflammation/injury and repair, but also uncover mechanisms regulating gene expression. Research involving proteomics methods have been applied to the study of hypoxic lung ...
Library of integrated network-based cellular signature PDB: Protein data bank CADD: Computer-aided drug design QSAR: Quantitative structure–activity relationship PLS: Partial least square HSVR: Hierarchical SVM SARS: Severe acute respiratory syndrome ADME: Absorption, distribution, metabolism, ...
The identification of causal variants in sequencing studies remains a considerable challenge that can be partially addressed by new gene-specific knowledge. Here, we integrate measures of how essential a gene is to supporting life, as inferred from viabi
Key properties of small molecules As described above, small molecules have been providing medical breakthroughs for human diseases for more than a century. To a large part, their success as drugs has been due to their inherent properties, including their ability to cross biological barriers and to...
Looking forward, Yizhen Luo, a key contributor to the KEDD project, outlines ambitious plans to enhance the framework's capabilities, including the exploration of multimodal pre-training strategies. The overarching objective is to cultivate a versatile, knowledge-driven AI ecosystem that acceleratesbiomed...