PREDICTION OF FUTILE RECANALISATION AFTER ENDOVASCULAR TREATMENT IN ACUTE ISCHAEMIC STROKE: DEVELOPMENT AND VALIDATION OF A HYBRID MACHINE LEARNING MODEL

Background Identification of futile recanalisation following endovascular therapy (EVT) in patients with acute ischaemic stroke is both crucial and challenging.Here, we present a novel risk stratification system based on hybrid machine learning method for predicting futile recanalisation.Methods Hybrid machine learning models were developed to addr

Over the recent few decades, many groups of formulation scientists are concentrating on rapid release dosage forms in oral cavity.Among all fast release dosage forms, orodispersible films are successful to Creams attract pharmaceutical industry due to ease of formulation and extension patent life.Films are popular in patients too because of quick o

Bacterial cell surface glycoconjugates are critical for cell survival and for interactions between bacteria and their hosts.Consequently, the pathways responsible for their biosynthesis have untapped potential as therapeutic targets.The localization of many glycoconjugate biosynthesis enzymes to the membrane represents a significant challenge for e