How AI Is Helping in the Fight Against Cancer
I see the future of cancer care becoming even more personalized. As AI continues to improve, we can expect more accurate diagnoses, better prediction of treatment responses, faster development of new therapies, and improved support for patients throughout their journey.
June 18, 2026 · Fito Kahn
Artificial intelligence is transforming nearly every industry, but few areas have the potential to impact lives as much as healthcare. One of the most exciting developments is how AI is helping researchers and physicians detect, diagnose, and treat cancers like ovarian and breast cancer.
As someone who has spent years working with AI and has personally experienced the cancer journey with my family, I've seen firsthand how important better tools can be. AI isn't replacing oncologists or researchers. It's giving them faster, more accurate ways to make informed decisions. It's also why I'm writing a book, The Healing Algorithm, about what I've learned at the intersection of AI, medicine, and caregiving, and building OncoCare, an app and supplement line designed to support patients and families through treatment.
Earlier Detection Can Save Lives One of the greatest challenges with ovarian cancer is that it often goes undetected until it has reached an advanced stage. Symptoms can be subtle and easily mistaken for less serious conditions. AI is helping by analyzing medical images, laboratory results, and patient records to identify patterns that might be difficult for humans to recognize. Researchers are training AI models to detect tiny abnormalities in CT scans, MRIs, mammograms, ultrasounds, and pathology slides, sometimes identifying potential concerns earlier than traditional methods.
Using AI can lead to earlier treatment, and that can make a significant difference in patient outcomes. The use of AI models and apps are already helping doctors make better decisions, and cancer treatments now have the potential to become increasingly personalized and targeted. Instead of treating every patient the same way, oncologists now consider dozens of factors, including genetic mutations, tumor characteristics, previous treatments, biomarkers, and overall health. I am seeing this firsthand in my own journey as a caregiver.
AI can quickly analyze thousands of research papers, clinical guidelines, and patient records to help physicians identify treatment options that may be appropriate for an individual patient. Of course, the final decision always belongs to the medical team, but AI can provide valuable insights that would take humans much longer to assemble.
Accelerating Drug Discovery Developing a new cancer drug traditionally takes many years and billions of dollars. AI is helping researchers narrow the search. By analyzing enormous biological datasets, AI can predict how molecules may interact with cancer cells, identify promising drug candidates, and even suggest new uses for existing medications. This doesn't eliminate the need for laboratory research and clinical trials, but it can dramatically reduce the amount of time needed to identify promising directions.
Improving Medical Imaging Radiologists examine thousands of medical images every year. AI can act as a second set of eyes. Modern AI systems can highlight suspicious areas on mammograms, CT scans, MRI images, and pathology slides, helping physicians focus on regions that deserve closer examination. The goal isn't to replace radiologists. It's to improve accuracy, reduce fatigue, and decrease the chances of something important being overlooked.
Matching Patients to Clinical Trials This is one of the exciting areas of AI that I am personally interested in. Thousands of cancer clinical trials are conducted every year, but finding the right trial can be incredibly challenging. Eligibility often depends on specific genetic mutations, previous treatments, age, overall health, and many other factors. AI can rapidly compare a patient's medical history with clinical trial databases to identify studies that might be appropriate. That gives patients and physicians more opportunities to explore cutting-edge therapies.
Supporting Patients Throughout Treatment AI isn't only helping researchers. It's also improving the patient experience. New AI-powered applications can help patients: Track symptoms between appointments, organize medications, monitor side effects, answer common questions, prepare for physician visits, summarize complex medical information, and improve communication with caregivers
These tools are not medical professionals, but they can help patients stay organized and better informed throughout treatment. This is the space where OncoCare Companion, an app I'm developing, lives. It's built to help patients and caregivers keep track of treatment schedules, supplement protocols, and side effect management in one place, so families spend less time scrambling for information and more time focused on care.
But I always remind people, AI is a Powerful Assistant, not a replacement. It's important to keep expectations realistic. AI cannot replace compassionate physicians, experienced nurses, or the difficult conversations that happen between patients and their healthcare teams. I cannot speak highly enough about how wonderful and helpful our doctors and the entire team at MD Anderson have been. AI cannot guarantee a diagnosis or recommend treatments without human oversight. What AI does exceptionally well is analyze enormous amounts of information quickly, identify patterns, and provide decision support that helps healthcare professionals work more efficiently.
Think of AI as another expert in the room. Another member of your team. One that never gets tired, never forgets a research paper, and can process millions of data points in seconds.
Looking Ahead I see the future of cancer care becoming even more personalized. As AI continues to improve, we can expect more accurate diagnoses, better prediction of treatment responses, faster development of new therapies, and improved support for patients throughout their journey. We're still in the early chapters of this technology, but the progress has been remarkable. It's a story I'm exploring in depth in The Healing Algorithm, which weaves together personal narrative and practical insight on how AI is reshaping the caregiving experience, and it's the driving idea behind OncoCare, which I built to put some of that support directly into patients' hands. Artificial intelligence won't cure cancer by itself, but by helping physicians, researchers, and patients make better decisions, AI is becoming one of the most promising tools in the fight against ovarian and breast cancer.
About the Author Fito Kahn is an AI educator, technologist, and healthcare innovator based in Austin, Texas. Through his work with AI education and healthcare technology, he explores practical ways artificial intelligence can improve patient care, empower individuals, and accelerate medical innovation. He is the author of the forthcoming book The Healing Algorithm and the creator of OncoCare, an app and supplement line built to support cancer patients and their families through treatment.