RESEARCH PROGRESS ON MACHINE LEARNING ASSISTED NON-TARGETED SCREENING STRATEGY FOR IDENTIFICATION OF FENTANYL ANALOGS

Research Progress on Machine Learning Assisted Non-Targeted Screening Strategy for Identification of Fentanyl Analogs

In recent years, the types and quantities of fentanyl analogs have increased rapidly.It has become a hotspot in the illicit drug control field of how to quickly identify novel fentanyl analogs and to shorten the blank regulatory period.At present, the identification methods of fentanyl parallel pants with kurta analogs that have been developed most

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Network-based clustering unveils interconnected landscapes of genomic and clinical features across myeloid malignancies

Abstract Myeloid malignancies exhibit considerable heterogeneity with overlapping clinical and genetic features among subtypes.We present a data-driven approach that integrates mutational features and clinical covariates at diagnosis within networks of their probabilistic relationships, enabling the discovery of patient subgroups.A key viking g-5 s

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