Deciphering the mechanisms of protein-protein interactions (PPIs) and protein structural changes within the native cellular environment is crucial for advancing drug discovery. In-vivo chemical cross-linking coupled with mass spectrometry (XL-MS) cap... read more
Lung cancer (LC) is one of the leading causes of death globally. Early detection is essential for saving lives and ensuring effective treatment for patients. When medical professionals can proactively diagnose and classify the condition, they can pro... read more
OBJECTIVES: Iron chelation therapy titration is managed by hematologists who monitor iron levels and adjust medication dosages to achieve patient outcomes. This study developed a machine learning (ML) algorithm to predict the liver iron concentration... read more
BACKGROUND: Frailty is a significant health concern associated with diminished physiological reserves and increased healthcare burdens. Currently, effective models for predicting frailty risk are lacking. This study utilizes machine learning-based mo... read more
RNA biology is undergoing a transformative revolution driven by AI foundation models. These models learn the intricate relationships between RNA sequence, structure, and function by training on vast, diverse datasets spanning millions of RNA molecule... read more
Polymer-drug conjugates (PDCs) represent a remarkable advancement in modern medicine, leveraging the physicochemical properties of polymers to enhance the efficacy and safety of therapeutic agents. This comprehensive review explores the historical ev... read more
Where and when should a robot look during interaction with humans? Intuitively, human-human interaction serves as the blueprint. In such interactions, gaze plays a central role, both in visually guiding action and in signaling communication. Yet, mos... read more
Linagliptin, a DPP-4 inhibitor commonly used in the management of diabetes mellitus, has shown potential activity in polycystic ovary syndrome (PCOS). Linagliptin's therapeutic effectiveness is limited by its poor membrane permeability and low oral b... read more
OBJECTIVES: To evaluate the association between the cancer detectability by artificial intelligence (AI) and long-term survival outcomes in invasive breast cancer. MATERIALS AND METHODS: This retrospective study analyzed consecutive women diagnosed w... read more
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