Health Minister Advocates Deeptech For Better Healthcare
Minister of Health, Family Welfare & Medical Education Satya Kumar Yadav speaking at deeptech conclave
Visakhapatnam: Andhra Pradesh Minister of Health, Family Welfare and Medical Education Satya Kumar Yadav pm Friday rendering quality healthcare to all is a daunting task and called for using deep technologies for extending affordable treatment to all.
Speaking at the Deep Tech Conclave on Artificial Intelligence and Machine Learning, he complimented the Global Forum for Sustainable Transformation (GFST) and all others concerned for taking a bold initiative to conduct an innovative conclave and hoped that the deliberations and outcomes of this conclave will provide valuable guidance and road map for way forward for reaching new horizons in health sector. He said "even as efforts were made to overcome the challenges and tackle communicable, water and vector borne diseases, we are confronted with the new and major challenge of Non-communicable diseases due to changing lifestyles.
Traditional methods of handling these challenges have had only limited success calling for new approaches to contain both kinds of challenges. During the last five years between 2019 and 2024, about 11 lakh people were affected by diarrhea as per official statistics only. In reality, it would have been much more. So is the case with malaria, dengue, chikungunya etc. Every bout of such disease renders the affected person unproductive at least for a week, if not more resulting in huge productivity loss.
The Minister asked "why do such diseases occur at regular intervals with a pattern? Is there any way of understanding these patterns, analyzing the causes, forecasting their outbreak, suggesting preventive measures and recommending precise treatment protocols? " He pointed out "with my experience of about 6 months as Minister of Health, I am of the considered view that we are ready for it and need to make a beginning at the earliest. I say so because in our State, we are generating substantial data in respect of incidence of various diseases affecting people and
personalized information.
