2021-09-15
Session 1: 9:30-10:00 am
The session 1 of Day 3 ATAL FDP started with the introduction of Dr. Harish Dureja, Professor, Department of Pharmaceutical Sciences Maharshi Dayanand University, Rohtak by Ms. Sweeti Bana. He enlightened our delegates by giving introduction of QbD that ensures product quality with effective control strategy. In his lecture, he discussed various steps of QbD like categorization of drug properties (TPP, QTPP); Risk assessment (RA-1) & identification of CQA; RA-2 by identifying PPs & MA; optimization of effects of input variables (DOE, CMAs& CPPs, design space). Dr. Harish briefly discussed how control strategies and RA-3 are determined by giving examples. He also showered some light on the design of experiment, its need, evolution and use in pharmaceutical sector. Towards the end of his talk, he explained all the queries of the participants.
Session 2: 11:15-12:45 pm
Dr. Madhu Verma, Assistant professor I.T.S College of Pharmacy, along with Co- Host Ms. Smiriti Sahu, welcomed the delegates and dignitaries. The session was chaired by Prof. (Dr.) Jagannath Sahoo, Director- School of Pharmaceutical and Population Health Informatics, DIT University, Dehradun. He started the session by thanking I.T.S and AICTE for organizing the programme. He delivered his talk on Convergence and block chain and artificial intelligence in Health care. While unfolding the secrets of artificial intelligence he brought our focus on how the world is looking forward at our profession. It was a proud moment of all when he told that out of top 10 emerging technologies of 2020, 5 are from pharmacy profession namely microneedles, virtual patients, digital medicine (smart watches, pills having devices), Whole genome synthesis and Quantum sensing. He discussed at par the role of AI in health care i.e., Block chain technology, Clinical trial book keeping, Health care institutions and providers, credentials verification of physicians, and Consumers & providers and payers. He fantasizes the audience by referring to currently used terms in AI healthcare such as smart watches, data recoding by wearable devices, bioelectronics medicines, Internet of healthy things IOHT, etc. He also dealt with the challenges associated with AI such as Disparity in pharma data, Data analytics is time consuming and resource heavy, Data inaccuracies and ambiguity around relevance, Cost and above all, rules and regulations not well defined. He also enlisted the AI based diagnostic tools which have entered into hospitals and the others which are in fundamental stage. He also highlighted the Star trek Devices i.e, medical devices of the future like, Bionic eye, 3 D print sockets for artificial limbs, contact lens for blood glucose level, Virtual dissection table, Robotic assistance, Biometric tattoos, Sensor in teeth, Printed skin, in-silico clinical trials, the medical tricorder. In the end, he patiently addressed all the queries of the delegates. Overall, it was very informative and illuminating session for audience and can motivate them to pursue their career in this emerging field.
Lunch 12:45 PM to 1:45 PM
Session 3: 1:45-3:15 pm
Ms Snigdha Bhardwaj along with Dr. Raj Rajkumari hosted the post lunch session. Dr Avijit Mazumder , Professor and Director in Noida Institute of Engineering and Technology Pharmacy Institute briefed about antimicrobial resistance and its public health risks world-wide. He shared the antimicrobial history and reasons of its resistance. In his talk, he also elucidated the harmful effects of antibacterial resistance on plants, animal, human body system, clarified the different mechanisms to spread resistance which includes plasmid mediated resistance, genetic mutation etc. He focused on the facts and preventive measures with regard to antibiotic resistance by using combination therapy of antibiotics instead continuous or unnecessary use of antibiotics, maintaining healthy practices in daily life. He calmly responded to all the queries of the participants.
The sessions of Day 3 were concluded with online feedback and attendance.