To help deliver safe, reliable pharmaceuticals to market, the pharmaceutical industry has traditionally depended on cutting-edge technologies. With the recent pandemic, it has become more critical than ever for pharmaceutical companies to get medications and vaccines to market as quickly as possible. In the pharmaceutical sector, artificial intelligence and machine learning are vital. AI has the potential to revolutionize drug discovery by speeding up the research and development process, lowering drug costs and increasing the likelihood of FDA clearance. AI offers numerous possibilities to improve procedures in pharmaceutical research and production. By giving a more data-driven approach to patient categorization, AI and machine learning can considerably aid diagnostic assistance.
- Disease Identification and Diagnosis
- Helping Identify Patients for Clinical Trials
- Drug Manufacturing
- Predictive Forecasting
- Mobile Apps and Remote Monitoring
A C Matin
Stanford University School of Medicine, Canada
Consolato M Sergi
Children's Hospital of Eastern Ontario, University of Ottawa, Canada
A C Matin
Stanford University School of Medicine, Canada
Consolato M Sergi
Children's Hospital of Eastern Ontario, University of Ottawa, Canada
Phila Raharivelomanana
University of French Polynesia, French Polynesia
Ruchika Bajaj
University of California, United States
Mirela Olympia Fagarasan Palmer
University of Southern California, United StatesSubmit your abstract Today
Title : mRNA and exosome-mediated directed gene therapy of cancer with no side effects
A C Matin, Stanford University School of Medicine, Canada
Title : Pathology and Patient Safety: The Vital Role of Electronic Medical Record and Pathology Informatics in Error Reduction and Precision Medicine
Consolato M Sergi, Children's Hospital of Eastern Ontario, University of Ottawa, Canada
Title : Assessment of Marquesan Rauvolfia nukuhivensis bioactive content
Phila Raharivelomanana, University of French Polynesia, French Polynesia
Title : Interaction of Commonly Used Oral Molecular Excipients with P-glycoprotein
Ruchika Bajaj, University of California, United States
Title : Needles of Cupressus torulosa D. Don ex Lamb as a sustainable antioxidant and antidiabetic drug material
Radhika khanna, Forest Research Institute, India
Title : Preparation and Optimization of Oral Lyophilized Flash Tablets Loaded with Sildenafil Citrate Self Nanoemulsifying System
Maeen Abdulaziz Almodhwahi, King Abdulaziz University, Saudi Arabia
Title : The Discovery of the First Red Geopolymer
Kawkab Kh al Naimi, Qatar University, Qatar