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1:20 pm Plenary Talk: Interspike Interval Distribution of Neuronal Model with distributed delay: Emergence of unimodal, bimodal and Power law @ Sathyam Hall
Plenary Talk: Interspike Interval Distribution of Neuronal Model with distributed delay: Emergence of unimodal, bimodal and Power law @ Sathyam Hall
Aug 13 @ 1:20 pm – 2:00 pm
Plenary Talk: Interspike Interval Distribution of Neuronal Model with distributed delay: Emergence of unimodal, bimodal and Power law @ Sathyam Hall | Vallikavu | Kerala | India
Karmeshu, Ph.D. Dean & Professor, School of Computer & Systems Sciences & School of Computational & Integrative Sciences, Jawaharlal Nehru University, India. Interspike Interval Distribution of Neuronal Model with distributed delay: Emergence of unimodal, bimodal and Power law The study
1:30 pm Invited Talk: Gut microbiome and health- Moving towards the new era of translational medicine @ Acharya Hall
Invited Talk: Gut microbiome and health- Moving towards the new era of translational medicine @ Acharya Hall
Aug 13 @ 1:30 pm – 1:50 pm
Invited Talk: Gut microbiome and health- Moving towards the new era of translational medicine @ Acharya Hall | Vallikavu | Kerala | India
Sharmila Mande, Ph.D. Principal Scientist and Head, Bio Sciences R&D, TCS Innovation Labs, Pune Gut microbiome and health: Moving towards the new era of translational medicine The microbes inhabiting our body outnumber our own cells by a factor of 10.
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