Intelligent Rx// How AI is Reshaping Medicine

Schedule

Wed Sep 10 2025 at 07:00 pm to 09:00 pm

UTC-07:00

Location

San Francisco | San Francisco, CA

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Unlocking healthier futures, one algorithm at a time. Are you ready to innovate?
About this Event

Imagine a world where AI can detect cancer in its earliest stages, often before symptoms even appear. This is the promise of AI-powered diagnostics – a future where early intervention saves countless lives

+brain behind Rx+ Engr.

Are you ready to witness the transformative impact of Artificial Intelligence on the future of medicine?This engaging lecture will explore the exciting and rapidly evolving world of AI in Healthcare, exploring how intelligent systems are revolutionizing diagnosis, treatment, drug discovery, and patient care.

From image analysis that can detect diseases earlier and with greater accuracy to personalized treatment plans tailored to an individual's unique genetic makeup, AI is no longer a futuristic fantasy but a tangible force reshaping the healthcare landscape.

In this -virtual- lecture, you will:

To understand how Artificial Intelligence is changing healthcare, we first need to grasp some key ideas. These include machine learning, where computers learn from data without explicit programming; deep learning, a more advanced type of machine learning that uses complex neural networks; and natural language processing, which allows computers to understand and process human language in medical texts and conversations.

Once we have this basic understanding, we can explore how AI is being used in practical ways across different areas of medicine. For example:


  • Diagnostics: AI tools are analyzing medical images like X-rays, MRIs, and CT scans, as well as pathology slides and genetic information, to help doctors find diseases like cancer, Alzheimer's, and heart problems earlier and more accurately.
  • Treatment: AI algorithms are being developed to create personalized treatment plans, figure out the best drug dosages for individual patients, and predict how well someone will respond to different therapies.
  • Drug Discovery: AI is speeding up the process of finding new drug candidates, predicting how effective and safe they will be, and making clinical trials more efficient.
  • Precision Medicine: AI is helping to combine different types of patient information, such as their genes, lifestyle, and medical history, to create highly specific and targeted treatments.
  • Robotics and Surgery: AI-powered robots are assisting surgeons by providing greater precision, allowing for less invasive procedures, and improving their dexterity.
  • Patient Monitoring: Wearable devices and remote monitoring systems that use AI are helping to track patients' health proactively and detect when their condition might be getting worse.
  • Administrative Efficiency: AI is also being used to automate tasks in hospitals and clinics, improving workflows and making operations more efficient.

It's also important to discuss the ethical questions that come with using AI in healthcare, such as how to protect patient data, avoid unfair biases in AI algorithms, and ensure that humans still have proper oversight.

Finally, we will look at the exciting possibilities for the future of AI in healthcare, including the development of new ways to diagnose diseases, the creation of healthcare that is tailored to each individual to prevent illness, and the potential to make healthcare more accessible and fair for everyone.

Who should opt-in?

This lecture is ideal for healthcare professionals (doctors, nurses, researchers, administrators), technology enthusiasts, students interested in the intersection of AI and medicine, and anyone curious about the transformative power of artificial intelligence in shaping the future of human health.


Event Photos
KLINIKUM+/The Scalpel and the Startup: How Medical Risk Aversion Shapes Physician Entrepreneurship
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Where is it happening?

San Francisco, United States

Event Location & Nearby Stays:

Tickets

USD 77.77

GINA HEALTH LLC

Host or Publisher GINA HEALTH LLC

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