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Cannabis programs are growing in RI schools – but when it comes to internships there s a catch

Afraid they might lose federal funding, RI universities are reluctant to give students hands-on experience or access to internships.

United statesNavindra seeramJohnson walesMagnus thorssonDavid lavalleeBryant universityDepartment of biomedicalCannabis advocacy clubVermont state universityVermont state university in montpelierJohnson wales universityWales universityPharmaceutical sciencesPhilip lamyCannabis control board

Dr Visha Rajagopalan receives $154,000 grant to study cardiovascular dysfunction

Dr Visha Rajagopalan receives $154,000 grant to study cardiovascular dysfunction
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United statesArkansas state universityDosha cumminsShane speightsVishwa rajagopalanJunming yueUniversity of nebraska medical centerStanford university medical centerInstitutional research enhancement awardNational institutes of healthDepartment of biomedicalArkansas biosciences instituteAnatomical sciencesInstitute of cardiovascular diseasesBirla institute of technologyAmerican heart association

MIL-OSI Global: Sarah Ferguson diagnosed with malignant melanoma – here are the latest treatments for this increasingly common skin cancer

MIL-OSI Global: Sarah Ferguson diagnosed with malignant melanoma – here are the latest treatments for this increasingly common skin cancer
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United kingdomSarah fergusonSarah allinsonLife sciencesDepartment of biomedicalLancaster universityRecommended sponsor painted moonOriginal artwork directly

Using machine learning to predict disease progression in multiple sclerosis

A combination of only 11 proteins can predict long-term disability outcomes in multiple sclerosis (MS) for different individuals.

Sara hojjatiMika gustafssonDepartment of physicsNature communicationsUniversity hospitalSwedish foundationClinical sciences at linkSwedish foundation for strategic researchSwedish brain foundationKarolinska university hospitalSwedish research councilUniversity of skDepartment of biomedicalKarolinska instituteUgglas foundationAlice wallenberg foundation

Severe MS predicted using machine learning

Severe MS predicted using machine learning
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Mika gustafssonSara hojjatiUniversity of skClinical sciences at linkSwedish brain foundationKarolinska instituteDepartment of physicsSwedish research councilSwedish foundation for strategic researchAlice wallenberg foundationDepartment of biomedicalKarolinska university hospitalUniversity hospitalSwedish foundationUgglas foundationClinical sciences