Abstract
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Call for Papers in Thematic Issues
Accelerating Cancer Drug Discovery Using Artificial Intelligence and In Silico Methods
Artificial intelligence and in silico methods speed up cancer drug discovery, transforming how new treatments are developed. Artificial intelligence, along with in silico methods, allows for quick investigation of large biological datasets, helping identify potential drug targets with remarkable speed and accuracy. Machine learning models help us understand how molecules ...read more
Artificial Intelligence and Computational Approaches in Drug Discovery
Computer-aided drug design (CADD) and artificial intelligence (AI) are fundamentally reshaping drug discovery pipelines by significantly enhancing efficiency in molecular screening, rational drug design, and natural product development. In the field of molecular screening, the integration of virtual high-throughput screening with advanced AI models enables rapid analysis of million-compound libraries, ...read more
Artificial Intelligence for Transformative Healthcare: From Prediction to Prevention
Machine learning and deep learning are transforming biomedical diagnosis by allowing for quicker and more accurate disease detection, ultimately enhancing patient care. Using advanced algorithms and extensive medical data, these approaches uncover patterns that may not be visible to humans, resulting in better detection of conditions such as cancer and ...read more
Management Of Primary And Metastatic Hepatic And Biliary Cancer
Cancer of the liver (primary and metastatic) and of the biliary tract is common wordwide. The pathophysiology is diverse. The therapeutic measures for the cancer of the liver and biliary tract include chemotherapy, surgery, transplantation, radiotherapy, immunotherapy and others. The aim of this thematic issue is to summarize the state-of-the-art ...read more
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