Lecture (Hybrid) on “Multimodality Approach to Tuberculosis Diagnosis: Integration by Machine Learning and Artificial Intelligence.”

INTRODUCTION:

The Sindh Innovation, Research, and Education Network (SIREN) working under the auspices of the Government of Sindh, and the International Center for Chemical and Biological Sciences (ICCBS) is organizing a lecture entitled, “Multimodality Approach to Tuberculosis Diagnosis: Integration by Machine Learning and Artificial Intelligence.” All research scholars, students, scientists, and faculty of SIREN universities are cordially invited to attend this important workshop. For video Conferencing parameters are: [email protected]

WHO SHOULD ATTEND?

Students, scientists and research scholars, already planning for implementation of AI in their research areas of different fields including biochemistry, health sciences, environment, physics, data science, oncology, radiology, and drug research.

SPEAKER’S PROFILE:

Prof. Dr. Imran H. Khan:

Dr. Khan’s research interests include studies on biomarkers for intracellular signaling pathways (cancer related) and infectious diseases. In the last several years he has worked on developing highly efficient, high-throughput multiplex approaches for studying proteomic and genetic biomarkers. His research includes simultaneous analysis of multiple, key components of cell signaling pathways in a single reaction vessel. In addition, he has employed novel approaches to study disease related biomarkers in body fluids (e.g., plasma/serum, dried blood spots, etc.) by combining the power of multiplexing systems and computational modeling. His research has been published in peer-reviewed journals.

PROGRAM SCHEDULE: 26th December 2022

DAY AND TIME: Monday (11:00 am - 12:30 pm)

REGISTRATION DEADLINE:  23rd December 2022 (Free)

VENUE: Lecture Hall A, Latif Ebrahim Jamal National Science Information Center (LEJNSIC), International Center for Chemical and Biological Sciences (ICCBS), University of Karachi-75270, Pakistan.

For more information: [email protected]; Call : 021-111-222-292 Ext: 267, 275.

Room No. 202, 2nd floor, L.E.J. National Science Information Center, International Center for Chemical and Biological Sciences (ICCBS), University of Karachi, Karachi-75270.