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The AI revolution in medicine is transforming healthcare, making it smarter and more efficient than ever before. From early disease detection to personalized treatment plans, AI empowers doctors with data-driven insights for better decision-making. Robotic surgeries and AI-assisted diagnostics are enhancing precision and reducing human error. AI also improves patient care through virtual assistants and remote monitoring tools. This technological leap is paving the way for a future where healthcare is more accessible, accurate, and innovative.
About the Speaker
Mr. Kinner N Sacchdev
Co-founder and CEO, Knorish , MS in Biotechnology, Newcastle University, United Kingdom
Kinner Sacchdev, co-founder and CEO of Knorish, stands out as an accomplished entrepreneur, having led his company to global recognitions in the AI domain with awards such as the Supernova Northstar AI disruptor at GITEX Dubai and a place in Google for Startup Accelarator top 20 AI startups in India. Knorish is a leading platform to generate revenue from online courses and webinars through custom websites, apps, and landing pages. He was one of the youngest patent holders in India, for an invention developed during his school years. His academic journey took him to Newcastle University, UK, where he did his Masters in Industrial and Commercial Biotechnology. Kinner's entrepreneurial ventures began in the UK, where his consulting firm aided Fortune 500 companies and international institutions in launching tech and education products globally. Recognized as a Business World's Young Entrepreneur and Times 40 under 40, he also is a dynamic speaker and avid reader. Kinner is passionate about data-driven marketing and brain hacking, continually seeking to master new fields.
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.
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.
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.
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.