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Nutrition Management during Fever & Flu
Proper nutrition plays a vital role in recovery from fever and flu. Staying hydrated is essential; fluids like water, herbal teas, broths, and fresh fruit juices help prevent dehydration and soothe symptoms. Light, nutrient-dense meals rich in vitamins, minerals, and antioxidants strengthen the immune system. Foods like citrus fruits, leafy greens, ginger, and garlic provide vitamin C and immune-boosting properties. Easily digestible foods such as rice, oatmeal, and soups are recommended to avoid overburdening the digestive system. Avoid processed, greasy, and sugary foods, as they may worsen inflammation. Adequate rest and nourishment ensure a quicker recovery.
About the Speaker
Seema Singh
Chief Clinical Nutritionist, Director of Seema Singh's Nutrition Clinic, Delhi
Seema Singh, an Award-Winning Dietitian, Nutritionist, and lifestyle Consultant, is the Founder Director of Seema Singh’s Nutrition Clinic. Over a prestigious career spanning 23 years she has been associated as the Head of the Clinical Nutrition department at prestigious hospitals include Fortis Hospital, Artemis Hospitals, Alchemist Hospitals, Moolchand Hospital, Apollo Hospitals and AIIMS. She is the recipient of the Best Nutritionist In India Award by CNBC TV 18 for blending Clinical Nutrition with Lifestyle Nutrition. Her diet regime mantra “No Fasting, No Feasting" resonates well across all age groups and social groups which is a game-changer when it comes to changing your eating habits. She has been recognized as an inspiring woman achieved by New foods Spectrum Magazine and facilitated by Rashtriya Chikitsa Sewa Puruskar. Outlook India Magazine covered her success story as a result of her unique approach to food and body. She contributes to national publications like The Hindustan Times, The Times of India, and The Indian Express and appears on many talk shows across digital media on platforms like Aajtak, Total TV, CNBC, Loksabha TV, Red FM, FM Rainbow, FM Gold,
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.