Northwestern investigators, faculty, students and community partners came together to share and celebrate global health research, education and outreach as part of the Robert J. Havey, MD Institute for Global Health’s 12th annual Global Health Day.
Babies of parents who speak a language other than English may be more likely to be unnecessarily hospitalized when visiting the emergency department for high fevers, according to a recent study published in JAMA Pediatrics.
Modulating the activity of a kinase in motor neurons may help mitigate mitochondrial defects and other symptoms of spinal muscular atrophy, offering a new therapeutic avenue for the devastating disease, according to a Northwestern Medicine study published in the Proceedings of the National Academy of Sciences (PNAS).
A common diabetes medication may help some patients with treatment-resistant hypertension slightly lower their high blood pressure and lessen their risk of heart failure events such as stroke, according to an analysis of a clinical trial published in Circulation.
Some interventions designed to improve healthcare worker collaboration may not improve patient outcomes, according to a recent trial published in the Annals of Internal Medicine.
A new molecular technology capable of binding to mRNA and regulating gene expression may offer a new avenue for treating diseases caused by insufficient protein levels, according to a study published in Nature Communications.
Roger Smith, an eighth-year student in Feinberg’s Medical Scientist Training Program, is developing an artificial intelligence tool to tie up medical loose ends identified in electronic health records.
Investigators led by Neil Kelleher, PhD, have developed an automated technique for imaging proteoforms in ovarian cancer, according to results published in Nature Communications.
Though treatments for allergies have historically been slow-going, recent research by Feinberg investigators has provided new hope for the future of allergy management.
Northwestern Medicine scientists have developed an artificial intelligence (AI) tool able to interpret chest X-rays with accuracy rivalling that of a human radiologist, according to findings published in JAMA Network Open.