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Sleep and Ayurveda
Ayurveda emphasizes the importance of balanced sleep for overall health and well-being, viewing it as one of the three pillars of life, alongside diet and energy management. According to Ayurvedic principles, sleep disorders can result from imbalances in the body's doshas—Vata, Pitta, and Kapha—each of which affects sleep differently. Remedies often include lifestyle changes, herbal treatments, and relaxation techniques like yoga and meditation. Ayurveda also advocates for "Brahma muhurta" (early morning waking) to harmonize the body’s natural rhythms, enhancing the quality of sleep and promoting mental clarity. By aligning sleep patterns with Ayurvedic principles, individuals can improve their physical, mental, and spiritual health
About the Speaker
Vaidya Ankur Kumar Tanwar
Assistant Professor, Rajshree Ayurvedic Medical College, Uttarpradesh
Vaidya Ankur Kumar Tanwar is a graduate of University of Delhi. He obtained his M.D. in Ayurvedic Physiology (Kriya Sharrir) from Ayurvedic & Unani Tibbia College, University of Delhi. Dr. Ankur Kumar Tanwar has 14 years’ experience in Ayurveda clinical practice, with special interest in skin disease, Reproductive health and sleep health. He is on the board of many national, international journals with more than 50 publications. He is the receiver of Indra award, Dr. B.R.Ambedkar award, Young researcher award, Excellence award for Ayurveda research. He is invited speaker in Loksabha TV, Govt. of India. He is involved in scientific and evidence based researches and clinical trials in the field of Ayurveda. He is well known for their dedication, compassion and expertise in Ayurveda
Upcoming Case Discussions
Unexplained Infertility: Diagnostic Techniques
Unexplained infertility refers to the inability to conceive despite thorough evaluation showing no identifiable cause in both partners. Diagnostic techniques focus on ruling out common issues through tests like semen analysis, ovulation assessment, and imaging studies such as hysterosalpingography (HSG) or transvaginal ultrasound to evaluate the reproductive anatomy. Advanced tests, including laparoscopy, can identify subtle conditions like endometriosis or pelvic adhesions. Hormonal evaluations, genetic testing, and endometrial receptivity analysis are also employed to uncover less apparent factors. Despite these methods, unexplained infertility often remains challenging to diagnose, highlighting the need for personalized care and ongoing research.
Nutrition in Pregnancy
Nutrition in pregnancy is crucial for the health of both the mother and the developing baby. A well-balanced diet rich in essential nutrients like folic acid, iron, calcium, and protein supports fetal growth, reduces the risk of birth defects, and strengthens maternal health. Adequate intake of fruits, vegetables, whole grains, and healthy fats ensures a steady supply of vitamins and minerals. Staying hydrated and managing portion sizes helps avoid complications like gestational diabetes and excessive weight gain. Prenatal supplements may be recommended to meet specific nutritional needs. Proper nutrition fosters a healthy pregnancy and sets the foundation for the baby’s long-term well-being.
Management of Pulmonary Embolism
Management of pulmonary embolism (PE) involves rapid diagnosis through imaging techniques like CT pulmonary angiography and the administration of anticoagulant therapy to prevent further clot formation. In severe cases, thrombolytic therapy or surgical intervention may be necessary to remove the embolus and restore normal blood flow.
The Role of AI and Machine Learning in Healthcare
AI and machine learning are transforming healthcare by improving diagnosis, treatment, and patient care. These technologies analyze vast amounts of medical data to detect patterns, enabling early disease diagnosis, such as cancer or heart conditions. Predictive analytics helps identify at-risk patients and optimize care plans. AI-powered tools, like chatbots and virtual assistants, enhance patient engagement and streamline administrative tasks. In treatment, machine learning supports precision medicine by tailoring therapies to individual needs. Additionally, AI accelerates drug discovery and research. While offering immense potential, ethical considerations, data privacy, and algorithm transparency remain critical for successful integration into healthcare systems.
Approach to Hemorrhagic Shock
The approach to hemorrhagic shock involves rapid assessment and stabilization through fluid resuscitation, typically with crystalloids or blood products, to restore circulating volume and improve tissue perfusion. Concurrently, controlling the source of bleeding through surgical intervention or hemostatic techniques is essential to prevent further blood loss and ensure recovery.