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Michelle Feng on Muck Rack

Michelle Feng

As seen in: Medium, arXiv, The Street, BioRxiv, 22 Words, SIAM News, McKnight's Long-Term Care News, Circuit Cellar
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Articles

Explore Reinforced: Equilibrium Approximation with Reinforcement Learning

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By Michelle Feng, Michelle Yilin, Qintong Xie
| arXiv
arXiv:2412.02016 (cs) View PDF HTML (experimental) Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computer Science and Game Theory (cs.GT) Cite as: arXiv:2412.02016 [cs.LG] (or arXiv:2412.02016v1 [cs.LG] for this version) https://doi.org/10.48550/arXiv.2412.02016 Submission history From: Mateusz Nowak [ view email] [v1] Mon, 2 Dec 2024 22:37:59 UTC (334 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Connected Papers Toggle Connected...
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High-throughput, multiplexed quantification, and sorting of single EVs at single-molecule level

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By Juhwan Park, Michelle Feng, Jingbo Yang, Hanfei Shen
| BioRxiv
Abstract We have developed a platform for the high-throughput, multiplexed, and ultra-sensitive profiling of individual extracellular vesicles (EVs) directly in plasma, which we call BDEVS - Agarose Bead-based Digital Single Molecule-Single EV Sorting.
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Supporting One Another: Care and Family Interconnectedness

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By Michelle Feng
| Medium
Across the United States, more than 53 million people take on the role of family carers, assisting loved ones with everything from grocery shopping to managing medical appointments to assisting with meals. While these acts of kindness are deeply meaningful, they are not without their challenges. A significant number of caregivers — up to 70% — experience clinical symptoms of depression.
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