Artificial intelligence and machine learning are accelerating innovation at every step
The past hundred years have brought astonishing medical advancements. The ability to edit genes, build life-saving machines and create vaccines that help prevent or stop diseases in their tracks were previously unfathomable, but are realities of today. And excitingly, both scientific methods and the pace at which life-saving medical breakthroughs are developed continue to advance, partially thanks to the advent and use of artificial intelligence and machine learning .
Pfizer is far from new to embracing AI and ML. For a decade, it’s been using this technology for all kinds of tasks across the continuum of molecule design, manufacturing, and distribution. “AI has the potential to surpass all other strategies for early predictions. For example, advanced machine learning used at the earliest stages of small molecule research has the potential to further streamline the design and discovery of our investigational medicines," said Djork-Arné Clevert, Vice President Machine Learning, Pfizer Inc.
While the focus of such deep learning has typically been limited to areas that have large datasets available, few studies have explored application of this technique to scientific problems of practical interest that lack sufficiently large datasets, with difficulty in acquiring data in a timely fashion. One such area that has not yet been fully aided by AI/ML algorithmic ability is monoclonal antibodies due to time, material, and other resource constraints.
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