How data scientists are improving care by learning how to learn
Following the success of Palliative Connect, a collaboration between a data science team and Penn Medicine clinicians, specialists finalized four principles to guide practitioners across the health care landscape to apply data science, machine learning, and digital tools to improve care. The principles were presented at the first annual Informatics Day hosted by the Penn Institute for Bioinformatics on May 31.
Palliative Connect employed predictive analytics to coordinate between palliative care specialists and a patient’s primary care provider, and grew from a small pilot into clinical practice at two of Penn Medicine’s hospitals with considerable success.
“We’re creating the playbook for building these systems,” said Michael Draugelis, chief data scientist at Penn Medicine.
From finding the right problem to predicting something existing systems aren’t meant to change, the principles presented this spring create systems for problem-solving and also dictate howto learn from future projects.
Nanoparticle blueprints reveal path to smarter medicines
New research involving Penn Engineering shows detailed variation in lipid nanoparticle size, shape, and internal structure, and finds that such factors correlate with how well they deliver therapeutic cargo to a particular destination.
A generous gift from alumni Glenn and Amanda Fuhrman brings the work of internationally acclaimed artist Jaume Plensa to the University of Pennsylvania. The latest addition to the Penn Art Collection expands Philadelphia's public art.
A massive chunk of ice, a new laser, and new information on sea-level rise
For nearly a decade, Leigh Stearns and collaborators aimed a laser scanner system at Greenland’s Helheim Glacier. Their long-running survey reveals that Helheim’s massive calving events don’t behave the way scientists once thought, reframing how ice loss contributes to sea-level rise.
