EXPERT INSIGHTS
provide real-time recommendations and help discover individuals ’ vulnerabilities .
Further , AI can make much progress in identifying genetic variants associated with distinct traits . Extensive genomic data analysis will allow unearthing distinct patterns such as ‘ autism spectrum disorder ’ that remain hidden in conventional methods . Such discoveries will also contribute immensely to combat specific lifestyle diseases . For example , in the field of oncology , categorization of cancers into clinically relevant molecular subtypes is possible with these advanced technologies . Such molecular classifications hold significance in diagnosis and treatment . Thus , the AI revolution and the extensive genomic data analysis have made the prediction , diagnoses and personalized treatment of lifestyle diseases a big success .
Personalized treatment , or precision medicine , is a treatment method that offers individual-centered medical care based on one ’ s specific parameters and characteristics such as genetics , lifestyle , and biomarkers . This individualized approach is effective in improving patient outcomes by providing targeted interventions that are more efficient , safe and successful . Undoubtedly , AI is a decisive factor in driving this treatment method .
Making healthcare delivery efficient
Predictive analytics , which uses AI techniques like machine learning , analyzes historical and current data to predict the future outcomes . ML algorithms are used to analyze data and develop predictive models . A major area where predictive analytics can be used is in identifying patients at risk of developing NCDs such as cancer and cardiovascular diseases . By analyzing data such as patient history , environment , economic conditions , demographics , and lifestyle factors , predictive models will help find patients at higher risk of developing lifestyle diseases and plan interventions to prevent or treat them .
AI can be used to make healthcare delivery efficient by improving the accuracy of predictive models . AI algorithms can analyze large volumes of data and identify patterns that can ’ t be unearthed by conventional tools .
Further advances in AI will bring thorough transformation in the healthcare sector . It will be more preventive , predictive , and personalized , and AI will become a key tool in providing quality healthcare around the world . In the future , with better access to patient data , AI will allow us to transform the way we live , handle crises and encounter diseases with a renewed thrust on preventive mechanisms .
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BioVoiceNews | February 2025