Background And Aims: Outcome analysis of patients with Wilms' tumors (WT) is presented.
Materials And Methods: A retrospective analysis of 23 children having WT managed by a single surgeon over 3 years (2021-2024) using the International Society of Paediatric Oncology Umbrella protocol was done.
Results: The median age at presentation was 36 months; 32 months and 24 months for the unilateral WT (uWT) ( = 19) and bilateral WT (bWT) ( = 4), respectively.
The purpose of this review is two-fold: (1) to summarize artificial intelligence and machine learning approaches and document the role of ligand-protein structures in directing drug discovery; (2) to present examples of drugs from the recent literature (past decade) of case studies where such strategies have been applied to accelerate the discovery pipeline. Compared to 50 years ago when drug discovery was largely a synthetic chemist driven research exercise, today a holistic approach needs to be adopted with seamless integration between synthetic and medicinal chemistry, supramolecular complexes, computations, artificial intelligence, machine learning, structural biology, chemical biology, diffraction analytical tools, drugs databases, and pharmacology. The urgency for an integrated and collaborative platform to accelerate drug discovery in an academic setting is emphasized.
View Article and Find Full Text PDFIntroducing the new Section Editor for Acta Cryst. B.
View Article and Find Full Text PDFType 2 Diabetes Mellitus (T2DM) presents a substantial health concern on a global scale, driving the search for innovative therapeutic strategies. Phytochemicals from medicinal plants, particularly Ocimum tenuiflorum (Holy Basil), have garnered attention for their potential in T2DM management. The increased focus on plant-based treatments stems from their perceived safety profile, lower risk of adverse effects, and the diverse range of bioactive molecules they offer, which can target multiple pathways involved in T2DM.
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