Next horizons: AI Health prevention

I’ve been spending time with Google Education recently on the profound impacts of AI in education. The ability to educate hundreds of millions of children, previously without access, is within our reach globally.

AI is progressing rapidly in health too, of course. As to whether, or when human beings become Post-Human – evolve into a being that is different from us today, in some fundemental ways – who knows? Ask one of our ancestors from the plains of the Serengeti 20,000 years ago, no doubt they would regard us as Post-Human. Though, you know, we really are the same as them; its the world, not humans, that have changed, or so I believe.  

In regard to health and AI, hre’s a few new developments to look out for!

• Personalized Medicine: AI tailors treatment plans to individual patients based on their unique characteristics. This approach, known as precision medicine, has the potential to improve treatment efficacy and reduce side effects.

• Enhanced Pattern Recognition: AI algorithms can detect subtle abnormalities that might be missed by the human eye. This is particularly helpful in early disease detection, where catching a condition early can significantly improve treatment outcomes.

  Zebra Medical Vision, a company using AI for medical image analysis, analyze mammograms and flag suspicious lesions for radiologists to review, improving detection of breast cancer by 8%.

• Improved Diagnostic Accuracy: AI is being trained on massive datasets of medical images with confirmed diagnoses. This allows the algorithms to learn and identify patterns associated with specific diseases. Studies have shown that AI can achieve accuracy rates comparable to, or even exceeding, those of highly experienced doctors.

• Automating Repetitive Tasks: AI can handle routine tasks like analyzing blood tests or screening for common conditions. This frees up doctors’ time to focus on more complex cases and spend more time with patients.

• Risk Prediction: AI can analyze a patient’s medical history, lifestyle factors, and genetic data to predict their risk of developing certain diseases. This information can be used for preventive measures and early intervention strategies.

• Drug Discovery: AI is being used to accelerate the process of drug discovery by analyzing vast datasets of molecular structures and identifying potential drug candidates.

Day to day value adds

• Medication Adherence: AiCure leverages AI to monitor medication adherence through smartphone cameras. By detecting missed doses, it can prompt patients or notify healthcare providers, aiding in managing chronic conditions.

• Multi-Cancer Screening: Freenome utilizes AI for multi-cancer screening. Their blood test analyzes a patient’s DNA methylation patterns to identify potential signs of various cancers at an early stage, holding promise for improved cancer detection rates.

As in almost every sector, AI is being used to assist professionals, not replace them but many of these early detection use cases are going to have profound impact on our health now and into the future.

See you soon at Be Well – your best ever, fun  and enjoyable health prevention and longevity strategy!