- 20.1k views
AI in Public Health
Artificial Intelligence (AI) is revolutionizing public health by enhancing disease surveillance, predicting outbreaks, and optimizing resource allocation. By analyzing vast datasets, AI can identify patterns and provide insights for timely interventions, improving population health outcomes. It aids in personalized healthcare by tailoring prevention strategies and treatments to individual needs. AI-driven tools, like chatbots and health apps, improve accessibility to health information, empowering communities. Additionally, AI supports research by accelerating data analysis in epidemiology and public health studies. However, ethical considerations and data privacy remain crucial challenges to address in leveraging AI for public health.
About the Speaker
Dr. Umashankar
Professor and Managing Director Arogyati Private Limited, Banglore
Dr.Umashankar Subramanian is an Academician, Entrepreneur, Administrator and Mentor. He graduated BHMS from Government Homoeopathic Medical College and Hospital Bangalore, and Masters in Public Health from University of South Florida, Tampa, USA. He has 17 years of experience in homeopathic clinical practice and public health. He is Former Principal of Padmashree School of Public Health. He is Chairman, Scientific Committee, Government Homoeopathic Medical College, Karnataka and also Vice President: National Association of Palliative care and Integrated Medicine, Karnataka Chapter. He presented papers at national and international conferences, and also published papers in national and international journals.
Upcoming Case Discussions
Endometriosis and Infertility
Endometriosis is a condition where tissue similar to the lining of the uterus grows outside of it, often affecting the ovaries, fallopian tubes, and pelvic organs. This disorder can cause painful periods, pelvic pain, and, in many cases, infertility. The presence of endometrial-like tissue outside the uterus can disrupt normal reproductive function by causing inflammation, scarring, and adhesions, which can interfere with ovulation, fertilization, and embryo implantation. Approximately 30-50% of women with endometriosis experience infertility, making it one of the leading causes of reproductive challenges in affected individuals. However, treatment options like surgery, medication, or assisted reproductive technologies can help improve fertility outcomes.
Impact of Endometriosis on Fertility
Endometriosis, a condition where endometrial-like tissue grows outside the uterus, can significantly impact fertility. It causes inflammation, scarring, and adhesions that may distort pelvic anatomy, block fallopian tubes, and impair ovarian function. Endometriosis is also linked to hormonal imbalances and poor egg quality, reducing the chances of conception. Symptoms like chronic pelvic pain and painful intercourse further complicate fertility. Diagnosis often requires laparoscopy, while management includes pain relief, hormonal therapy, and assisted reproductive techniques like IVF. Early intervention with medical or surgical treatment can improve reproductive outcomes, but severe cases may necessitate advanced fertility treatments for conception.
Hyperlipidemia: From Diagnosis to Treatment
Hyperlipidemia is a condition characterized by elevated levels of lipids, such as cholesterol and triglycerides, in the blood, which can increase the risk of cardiovascular diseases. Diagnosis typically involves blood tests measuring lipid profiles, while treatment focuses on lifestyle changes, such as diet and exercise, alongside medications like statins to manage cholesterol levels and reduce cardiovascular risk. Regular monitoring is essential for effective management and prevention of complications.
Acne: Disorders and Treatment Approaches
Acne is a common dermatological condition caused by clogged pores, excess sebum production, bacterial growth, and inflammation. It can manifest as blackheads, whiteheads, papules, pustules, or cysts, often leading to scarring if untreated. Various factors, including hormonal changes, diet, stress, and genetics, influence its severity. Treatment approaches range from topical and oral medications, such as retinoids, antibiotics, and hormonal therapy, to advanced procedures like chemical peels and laser therapy. A personalized skincare regimen, along with lifestyle modifications, plays a crucial role in managing and preventing acne.
Abnormal Uterine Bleeding: Diagnosis and Management
Abnormal Uterine Bleeding (AUB) is a common gynecological condition characterized by bleeding outside the normal menstrual cycle, excessive flow, or irregular patterns. It can result from structural causes (polyps, fibroids, adenomyosis, malignancy) or non-structural factors (coagulopathy, ovulatory dysfunction, endometrial disorders). Diagnosis involves a thorough history, physical examination, laboratory tests, imaging (ultrasound), and sometimes hysteroscopy. Management depends on the underlying cause and includes hormonal therapy (oral contraceptives, progestins), non-hormonal options (NSAIDs, tranexamic acid), and surgical interventions (endometrial ablation, myomectomy, hysterectomy). A tailored approach ensures effective symptom control and improved quality of life. Early evaluation is key to preventing complications.
Author Post
Impact
+
Talks
+
webinar
+
no.of registrations
One liner about speaker
Why is speaker relevant?
Dr. Umashankar's Talks on Assimilate
- 5th -Dec -2024, TIME : 5:00PM TO 6:00 PM
- 0
Artificial Intelligence (AI) is revolutionizing public health by enhancing disease surveillance, predicting outbreaks, and optimizing resource allocation. By analyzing vast datasets, AI can identify patterns and provide insights for timely interventions, improving population health outcomes. It aids in personalized healthcare by tailoring prevention strategies and treatments to individual needs. AI-driven tools, like chatbots and health apps, improve accessibility to health information, empowering communities. Additionally, AI supports research by accelerating data analysis in epidemiology and public health studies. However, ethical considerations and data privacy remain crucial challenges to address in leveraging AI for public health.
- 5th -Dec -2024, TIME : 5:00PM TO 6:00 PM
- 0
Artificial Intelligence (AI) is revolutionizing public health by enhancing disease surveillance, predicting outbreaks, and optimizing resource allocation. By analyzing vast datasets, AI can identify patterns and provide insights for timely interventions, improving population health outcomes. It aids in personalized healthcare by tailoring prevention strategies and treatments to individual needs. AI-driven tools, like chatbots and health apps, improve accessibility to health information, empowering communities. Additionally, AI supports research by accelerating data analysis in epidemiology and public health studies. However, ethical considerations and data privacy remain crucial challenges to address in leveraging AI for public health.