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2:05 pm Invited Talk: Targeting aberrant cancer kinome using rationally designed nano-polypharmaceutics @ Acharya Hall
Invited Talk: Targeting aberrant cancer kinome using rationally designed nano-polypharmaceutics @ Acharya Hall
Aug 13 @ 2:05 pm – 2:29 pm
Invited Talk: Targeting aberrant cancer kinome using rationally designed nano-polypharmaceutics @ Acharya Hall | Vallikavu | Kerala | India
Manzoor K, Ph.D. Professor, Centre for Nanoscience & Molecular Medicine, Amrita University Targeting aberrant cancer kinome using rationally designed nano-polypharmaceutics Manzoor Koyakutty, Archana Ratnakumary, Parwathy Chandran, Anusha Ashokan, and Shanti Nair `War on Cancer’ was declared nearly 40 years ago.
2:15 pm Invited Talk: Nanoscale Simulations – Tackling Form and Formulation Challenges in Drug Development and Drug Delivery @ Sathyam Hall
Invited Talk: Nanoscale Simulations – Tackling Form and Formulation Challenges in Drug Development and Drug Delivery @ Sathyam Hall
Aug 13 @ 2:15 pm – 2:40 pm
Invited Talk: Nanoscale Simulations – Tackling Form and Formulation Challenges in Drug Development and Drug Delivery @ Sathyam Hall | Vallikavu | Kerala | India
Lalitha Subramanian, Ph.D. Chief Scientific Officer & VP, Services at Scienomics, USA Nanoscale Simulations – Tackling Form and Formulation Challenges in Drug Development and Drug Delivery Lalitha Subramanian, Dora Spyriouni, Andreas Bick, Sabine Schweizer, and Xenophon Krokidis Scienomics The discovery of
2:40 pm Invited Talk: Applying Machine learning for Automated Identification of Patient Cohorts @ Sathyam Hall
Invited Talk: Applying Machine learning for Automated Identification of Patient Cohorts @ Sathyam Hall
Aug 13 @ 2:40 pm – 3:05 pm
Invited Talk: Applying Machine learning for Automated Identification of Patient Cohorts @ Sathyam Hall | Vallikavu | Kerala | India
Srisairam Achuthan, Ph.D. Senior Scientific Programmer, Research Informatics Division, Department of Information Sciences, City of Hope, CA, USA Applying Machine learning for Automated Identification of Patient Cohorts Srisairam Achuthan, Mike Chang, Ajay Shah, Joyce Niland Patient cohorts for a clinical