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AI is helping several industries stay relevant and updated in the competitive world, and pharma is no exception when it comes to the adoption of AI.
FREMONT, CA: It is crucial for pharmaceutical companies to remember that AI is best suited for repetitive tasks where efficiency lacks. AI-assisted pharmaceutical tasks should be low risk, do no harm, and reduce costs. The pharmaceutical industry has witnessed reorganization after reorganization in companies that seek these efficiencies.
AI and Radiology
Radiology is an area where AI has been speculated to play a major role in the future. At present, different healthcare and pharmaceutical companies are working on machine learning algorithms to monitor and detect differences between healthy and cancerous tissues.
AI and Medicine
Utilizing AI helps detect and scan for cancer and other diseases at the early stages itself, as well as predict health issues people might suffer from their genetics. IBM Watson for Oncology, a healthcare platform, uses patient's medical information and history to optimize the treatment decision-making.
AI and Drug Delivery
At the earliest process of drug discovery, AI plays a major role in drug target identification and validation, target-based, phenotypic, and also multi-drug discoveries. Leveraging AI in drug discovery and trials can minimize the time taken to get approval and reach the market.
Pharmaceutical companies that are assisted with AI will enhance successful drug discovery to drug development utilizing commercialization. AI-assisted drug development and discovery applications help to deliver efficiencies in the analysis of big data sets that are leading to the identification of new therapies.
Some of the pharma organizations are reaching out to specialized companies and also startups monitoring on AI-driven discovery. The adoption of AI applications in the pharmaceutical process will hopefully lead to an impartial and personalized array of treatment options for the patient. The expected revolution of AI in pharma will not happen overnight. It is expected t transform eventually over the next 20 years.