AI harnesses tumor genetics to predict treatment response

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Scientists at University of California San Diego School of Medicine used a machine learning algorithm to predict when cancer will resist chemotherapy. 

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In an effort to target the right patients, genetic screening is becoming more common in clinical trials. But incorporating it can be complex and add a significant burden for both patients and clinical trial sites. Genetic counseling can streamline that process and help drug and gene therapy developers expedite the recruitment of genetically-eligible participants for their trials and use genetic testing results to accelerate the speed and success of clinical trials.
Technological innovations are often hailed as transformative tools capable of revolutionizing healthcare. From gene editing for conditions like sickle cell disease to AI predicting hospital readmissions, to telemedicine expanding healthcare access, these advancements have the potential to change the way we treat diseases. 

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