[DOI] [PMC free article] [PubMed] [Google Scholar] 100.Ragolia L, Begum N
early orthopedic reviews note promise but emphasize the need for rigorous human trials
Handling and contamination prevention Minimize handling of refrigerated peptides
Disclosure of interest: All of authors: nothing to disclose Poster Session II - DIGITAL TRANSFORMATION, AI AND ROBOTICS 07.00 - DIGITAL TRANSFORMATION, AI AND ROBOTICS - 07.01 - TECHNOLOGY INNOVATIONS: ROBOTS, VIRTUAL REALITY, ARTIFICIAL INTELLIGENCE AND MORE P895 - ESOC25-2267 COMPARING MACHINE LEARNING MODELS FOR DIFFERENTIATING STROKE SUBTYPES USING BIOMARKERS AND IMAGING MODALITIES Manabesh Nath 1 , Pradeep Kumar 2 , Shubham Misra 3 , Manjari Tripathi 1 , Sachin Kumar 4 , Shantanu Sengupta 5 , Awadh Pandit 1 , Deepti Vibha 1 1 Department of Neurology All India Institute of Medical Sciences, Neurosciences Centre, New Delhi, India, 2 Clinical Research Unit, All India Institute of Medical Sciences, New Delhi, India, 3 Department of Neurology, Yale University, New Haven, United States, 4 Center for Biomedical Engineering, Indian Institute of Technology, New Delhi, India, 5 Institute of Genomics and Integrative Biology, New Delhi, India Background and Aims: Accurate and rapid stroke subtype differentiation is crucial for effective treatment
Breastfeeding mothers should also consult before taking the medicine as it may pass into the breast milk and affect the newborn
112 PEGylation can be performed at various sites, including the N-terminus, C-terminus, amino groups, sulfhydryl groups, and via bridging strategies
