- 34.6k views
Skin Cancer: Detection and Prevention
Skin cancer detection and prevention are paramount due to the rising incidence of this potentially life-threatening condition, particularly with increasing sun exposure and tanning trends. Regular skin self-examinations can aid in the early detection of suspicious lesions, prompting timely medical evaluation and intervention. Sun safety practices, including wearing protective clothing, seeking shade, and using broad-spectrum sunscreen, are essential in minimizing UV radiation exposure and reducing skin cancer risk. Educating individuals about the ABCDEs of melanoma (Asymmetry, Border irregularity, Color variation, Diameter greater than 6mm, Evolution) facilitates the recognition of concerning moles or lesions. Routine skin cancer screenings by dermatologists are recommended, especially for individuals with a history of sunburns, fair skin, or family history of skin cancer. Emphasizing the importance of sun protection behaviors from childhood onwards can instill lifelong habits that help prevent skin cancer development.
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
Technology Integration with Healthcare
Technology integration in healthcare is transforming the way medical services are delivered, enhancing efficiency and patient outcomes. Innovations such as telemedicine, electronic health records (EHR), and wearable devices allow for real-time monitoring and improved accessibility. Artificial intelligence (AI) and machine learning aid in early diagnosis and personalized treatment plans. Robotic surgeries and advanced imaging techniques offer precision and reduced recovery times. By combining technology with healthcare, providers can streamline operations, improve patient engagement, and deliver cost-effective care solutions.
Pediatric Obesity: Treatment Management
Treatment management for pediatric obesity combines lifestyle changes, family support, and, in severe cases, medical interventions. Family-based strategies are key, encouraging healthy eating habits, regular physical activity, and reduced screen time. Behavioral therapy helps set achievable goals and address barriers, empowering children and families to make sustainable lifestyle adjustments. Dietitians often assist in designing individualized meal plans that focus on nutrient-rich foods and limit calorie-dense options. In cases of severe obesity with related health conditions, medications or surgery may be considered, particularly for adolescents. Continuous monitoring and support from healthcare providers are essential for long-term success and health improvement.
Clinician’s Approach to Sleep Apnea
A clinician's approach to sleep apnea begins with a thorough assessment of the patient's medical history, symptoms (such as snoring, choking, and daytime fatigue), and risk factors like obesity or hypertension. Diagnosis is typically confirmed through polysomnography or home sleep apnea testing, followed by treatment strategies such as continuous positive airway pressure (CPAP), lifestyle modifications, or surgical interventions depending on the severity and type of sleep apnea.
Case Based Approach to Arthritis
A case-based approach to arthritis involves analyzing individual patient cases to tailor diagnostic and therapeutic strategies based on specific symptoms, disease progression, and underlying causes. This method enhances clinical decision-making by providing personalized treatment plans and improving patient outcomes in conditions like osteoarthritis, rheumatoid arthritis, and psoriatic arthritis.