Peter Lucas on Muck Rack

Peter Lucas

Boston
As seen in: The Lowell Sun, Medium, MSN, MSN South Africa, Nature, The Independent (UK), Teachers College Record, The Conversation, Boston Herald, City A.M., EIN News and
Political columnist, Boston Herald, previous Boston Globe, Lowell Sun, Books, Balkan Caesar, The OSS in World War II Albania.
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Articles

Don't miss tomorrow's Payments industry news Original

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By Peter Lucas
| Payments Dive Verified
Dive Brief: The Conference of State Bank Supervisors urged the Treasury Department this week to amend its guidelines for regulating stablecoin issuers to ensure states continue to have the “discretion” and “flexibility” to regulate stablecoins issuers beyond federal guidelines, according to a press release.
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University Orthopedics Launches Center for Clinical Optimization to Improve Surgical Outcomes and Reduce Complications

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By Peter Lucas
| EIN Presswire
Multidisciplinary model to focus on key health factors, including weight management, blood sugar control, and smoking cessation When we improve a patient’s health—whether they’re preparing for surgery or simply trying to feel better—we can make a meaningful difference in their recovery and quality of life.” — Dr. Mouhanad El Othmani, Supervising Physician EAST PROVIDENCE, RI, UNITED STATES, May 7, 2026 / EINPresswire.com/ -- As demand for orthopedic procedures continues to rise nationwide,...
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Non-invasive profiling of the tumour microenvironment with spatial ecotypes

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By Wubing Zhang, Erin Brown, Abul Usmani, Noah Earland, Minji Kang, Chibuzor Olelewe, Anushka Viswanathan, Pradeep Chauhan, Chloé B. Steen, Hyun Soo Jeon, Susanna Avagyan, Irfan Alahi, Nicholas Semenkovich, Janella Schwab, Chloé Sachs, Faridi Qaium, Peter Harris Verified, Qingyuan Cai, Andrew J. Gentles, James Knight, Rondell P Graham, Antonietta Bacchiocchi, Peter Lucas, Ryan Fields, Mario Sznol, Ruth Halaban, David Chen Verified, Aadel A. Chaudhuri, Aaron Newman
| Nature Verified
Abstract Multicellular programs in the tumour microenvironment (TME) drive cancer pathogenesis and response to therapy but remain challenging to identify and profile clinically1,2,3. Here, we present a machine-learning framework for multi-analyte profiling of spatially dependent cell states and multicellular ecosystems, termed spatial ecotypes (SEs).
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