Luis Lambert
3 月 24, 2025 • 3 min read
We all want something made just for us, tailored to our preferences. This desire explains why people in fields like finance, marketing, and healthcare are working towards personalization. They aim to develop customizable products for unique experiences. These products can be anything from a special greeting card to individual treatments.
Imagine therapies made specifically for you. Therapies that consider your genetics, lifestyle, and medical history. This is now possible because of personalized medicine and artificial intelligence (AI). Both have advanced a lot in recent years.
AI in healthcare has attracted big investments and experienced rapid growth. For example, CBINSIGHTS reported that from 2012 to 2017, AI in healthcare raised US$1.8 billion across 270 deals (even before the advent of ChatGPT). The Our World In Data graph below shows private investment in healthcare AI remains high, if below its peak:
According to the Financial News Media (FNM), the market value of AI in healthcare was around US$27 billion in 2024. Precedence Research predicts the market value will reach US$614 billion by 2034. If true, that increase over 10 years will exceed 2,200%.
The first approach focuses on preventing disease. Research from ScienceDirect shows that this is a key goal of modern science. Preventive medicine enables early diagnosis and treatment, even before symptoms show. It can also help avoid negative reactions to medications. By improving prevention, we can create a more sustainable healthcare system.
Participatory medicine focuses on the patient's role in health. It helps people take charge of their well-being. This means self-monitoring, making informed choices, and changing lifestyles. This approach is more personalized and effective, tailored to individual unique needs and values.
Many tools today use AI to assess our health. Photo by Karolina Grabowska: https://www.pexels.com/photo/anonymous-sportswoman-checking-smart-watch-and-sitting-on-mat-4498483/
Personalized medicine customizes treatments based on each patient's unique traits. This includes genetics, environment, and lifestyle. According to the National Library of Medicine (NIH) it’s being applied in various healthcare areas, including:
• Healthcare: Algorithms can aid in the early diagnosis of cancers, such as head, neck, skin, and prostate.
• Diagnosis: A prime example is the Face2Gene app, which helps identify dysmorphic facial features. It can detect over 8,000 diseases, such as Turner Syndrome, Rett Syndrome, and many more, according to studies from Japan. AI can also detect the human papillomavirus.
• Follow-up, support, and monitoring: AI advancements are now in robotics. These robots can provide support, communicate, and analyze large amounts of information.
These tech advances drive growth in various science fields, creating many new opportunities to explore.
AI can analyze complex information. Photo by Tara Winstead: https://www.pexels.com/photo/black-and-silver-headphones-beside-orange-and-white-pen-and-white-earbuds-7722867/ (Perhaps surprisingly, that is the correct web address.)
Recently, the importance of early intervention and personalized strategies has become clear. Prevention is a key goal of "4P Medicine". This approach has four main parts: Predictive, Preventive, Personalized, and Participatory. It shifts care from reactive to proactive. This change gives patients and healthcare providers more control.
As this field grows, we can expect better treatments. These will be targeted and effective. They will also fit each person's unique genetics, behavior, and environment.
This customization leads to better clinical outcomes and happier patients. It also results in fewer side effects and makes healthcare systems more efficient.
Collaboration is key for innovation. Healthcare professionals, data scientists, engineers, and technologists must work together. There will be challenges, but this mix of fields will lead to major progress in human health.
If you liked this post, check out our blog for more. Indeed, check out a massive project we did connecting AI to health, user engagement, and insurance.
Luis Lambert
Multimedia designer with the versatility to work in areas such as marketing. Always optimistic facing life's many challenges. Expert video editor, out-of-the-box thinker, and video game lover.
