8 TECH OUTLOOKJune - 2020IN MY OPINIONIt's time to stop tiptoeing around applying Artificial Intelligence (AI) to the development and manufacturing of therapeutic drugs. If we use thistool carefully and thoughtfully, we will bring benefits to researchers, clinicians, and ultimately patients. Theeventual widespread application of AI will stop the wasting of time and resources, and instead allow us to act quicker, based on insights from AI and other digital technologies.Note that I called AI a tool. I'm not calling it the answer to everything, although it can answer a lot of previously unanswerable questions. During my 20 years working in the healthcare industry leading the development, approval, and launch of numerous drug and diagnostic products I have been able to see many opportunities realized. There is an enormousdesire to progress and help bring new treatments to patients. But now, with AI at our fingertips, we're moving ever closer.Here are five ways I see AI helping to reduce variables and speed up breakthroughs across the pharmaceutical and Life Sciences industries:1) AI helps understand diseases betterThe many variables of early-stage drug development can cripple progress. Which drug molecule out of thousands to take forward to clinical development? Which disease site to target in a complex molecule? I believe AI and its subset, machine learning,are the technologies that will finally deliver on the promise of smarter Research and Development.At GE Healthcare, we recently introduced a machine learning module called "Phenoglyphs" to pair with our IN Carta Five Ways Artificial Intelligence Can Drive Efficiency and Empower People in HealthcareBy Ben Newton, GM Oncology, GE Healthcare Life Sciences
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