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9:17 am Plenary Address: Making sense of pathogen sensors of Innate Immunity: Utility of their ligands as antiviral agens and adjuvants for vaccines. @ Acharya Hall
Plenary Address: Making sense of pathogen sensors of Innate Immunity: Utility of their ligands as antiviral agens and adjuvants for vaccines. @ Acharya Hall
Aug 13 @ 9:17 am – 9:55 am
Plenary Address: Making sense of pathogen sensors of Innate Immunity: Utility of their ligands as antiviral agens and adjuvants for vaccines. @ Acharya Hall | Vallikavu | Kerala | India
Suryaprakash Sambhara, DVM, Ph.D Chief, Immunology Section, Influenza Division, CDC, Atlanta, USA Making sense of pathogen sensors of Innate Immunity: Utility of their ligands as antiviral agents and adjuvants for vaccines. Currently used antiviral agents act by inhibiting viral entry,
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