AI aids in identifying at-risk cancer individuals, drug development
Machine learning helps in cancer risk assessment, medication discovery
Recently, there has been a dramatic change in cancer diagnosis methods, with an emphasis on molecular-based classifications that take cancers' genetic composition into account.
A medical expert spoke at the Abu Dhabi Global Healthcare Week about how artificial intelligence, and machine learning in particular, can be a strong partner in cancer treatment.
According to Dr. Faek El Jamali of the Digestive Disease Institute at Cleveland Clinic Abu Dhabi (CCAD), AI helps with cancer detection and prevention. El Jamali is a staff physician and colorectal surgeon.
In order to develop targeted treatments, AI is essential for deciphering the complicated protein structures, which speeds up drug discovery. Through a thorough examination of medical records, AI helps identify individuals who are at risk, allowing doctors to tailor prevention plans to each patient's unique needs. According to Dr. Jamali, who was also the chair of the Cleveland Clinic Global Summit on innovations in cancer, AI's predictive capabilities can help us proactively address potential cancer risks and optimize preventive measures. This was reported by Khaleej Times.
According to Dr. Jamali, cancer is essentially a hereditary disorder in which mistakes happen within the cancer cells' DNA.
There are two situations in which genetic testing is crucial. One important use is in determining whether cancer runs in families, which can lead to more targeted treatments and better overall management. Second, genetic testing is useful for population-level prevention initiatives. New blood tests could change the way people get their checkups by revealing their personal cancer risks, which could lead to a dramatic improvement in early cancer screening.
Dr. Jamali highlighted a paradigm change in cancer detection and prediction from relying on external observations to molecular-based classifications, which center on cancers' genetic composition, when discussing recent advances in cancer prediction and detection.
With this precision method, tailored treatments can be developed to target cancer-causing mutations while avoiding harming healthy cells, as Dr. Jamali emphasised. New insights into the immune response and developments in immunotherapy are also improving cancer treatment methods. By combining them, we are entering a new age of cancer treatment that will usher in precision medicine and better results for patients.
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