Abduiw Ahed - YouTube
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Abdul Waseh Basit - Wikipedia
Abdul Waseh Basit (born November 1971) is a professor of pharmaceutics at University College London, [1] and founder of two pharmaceutical biotechnology companies spinning out of UCL. Basit is interested in particular in oral drug delivery and pharmaceutical three-dimensional (3D) printing. [2][3][4]
abduiw - GitHub
GitHub is where abduiw builds software.
Abdul Wasay Raif Jawid , MD - Adventist Health
Apr 30, 2024 · Dr. Jawid is a board certified internist practicing with Adventist Health Lodi Memorial. He is dedicated to providing compassionate care to adult patients for all primary care needs, with a special interest in hypertension, diabetes, cardiovascular concerns, preventative medicine and sports medicine.
Abdul W. - Technical Support Associate - Tech Mahindra - LinkedIn
As a passionate and results-driven professional, I’m excited to step into my new role as a Business Development Manager after gaining over 4+ years of experience as a Recruiter.
- Title: Consultant | Analysis | …
- Location: Tech Mahindra
- 500+ connections
Abdul BASIT | University College London, London | UCL | School …
Abdul Basit is Professor of Pharmaceutics at University College London. Abdul is a leading authority on oral drug delivery, microbiome medicine, 3D printing and digital health. He has...
Abdul Basit Profile - University College London
Oct 1, 2010 · Since 2010 Abdul holds the position of Professor of Pharmaceutics at the UCL School of Pharmacy and is internationally leading in the field of gastroenterology, oral drug …
Abdul Waheed Khan, MD - Hill Physicians Medical Group
1144 Norman Dr Ste 205. SPECIALTIES AT THIS LOCATION: Internal Medicine. OFFERS VIRTUAL CARE: Yes. ACCEPTING NEW PATIENTS: Yes. PARTICIPATES IN MEDI-CAL: …
Abdul W. - The University of Texas at Arlington | LinkedIn
Data scientist and researcher with skills in analyzing financial and economic data using… Applying principles of chemistry and physics to understand material properties and designing processes to...
- Connections: 486
- Location: The University of Texas at Arlington
Predicting drug-microbiome interactions with machine learning
Machine learning (ML) offers a powerful toolkit capable of characterising and predicting drug-microbiota interactions at the individual patient level. ML techniques have the potential to learn the mechanisms operating drug-microbiome activities and measure patients' risk of such occurrences.
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