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Breast Cancer: Real-Life Clinical Scenarios
Breast cancer is one of the most common cancers affecting women worldwide, characterized by the uncontrolled growth of cells in the breast tissue. Early detection through regular screenings, such as mammograms, significantly improves the chances of successful treatment. Common symptoms include a lump in the breast, changes in breast shape or size, and nipple discharge. Treatment options vary depending on the stage of cancer and may include surgery, radiation, chemotherapy, and targeted therapies. Advances in personalized medicine and genetic testing have also improved treatment outcomes, making breast cancer more manageable when detected early. Awareness and self-examinations are key in early diagnosis and improving survival rates.
About the Speaker
Dr. Tejaswini Adada
Consultant Medical Oncologist and Hematologist, Hcg Cancer Centre, Visakhapatnam
Dr. Srinivasa Tejaswini Adada is an accomplished Consultant Medical Oncologist, Hematologist. She holds a DM in Medical Oncology, with additional qualifications including MRCP (UK) and ECMO certification. With a passion for advancing cancer treatment, she is pursuing specialized training in AI in Cancer Research through Cambridge University centre for innovation and development . Dr. Tejaswini is dedicated to delivering expert care to her patients and is actively involved in research and education to drive innovation in oncology and hematology. Today: on occasion of being a breast cancer awareness month- she gives her insights on few updates on breast cancer screening and treatment.
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.