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http://dx.doi.org/10.1002/jez.1402190304 | DOI Listing |
Nat Commun
January 2025
Department of Machine Learning, Moffitt Cancer Center, Tampa, FL, USA.
AI decision support systems can assist clinicians in planning adaptive treatment strategies that can dynamically react to individuals' cancer progression for effective personalized care. However, AI's imperfections can lead to suboptimal therapeutics if clinicians over or under rely on AI. To investigate such collaborative decision-making process, we conducted a Human-AI interaction study on response-adaptive radiotherapy for non-small cell lung cancer and hepatocellular carcinoma.
View Article and Find Full Text PDFN Engl J Med
January 2025
From Médecins Sans Frontières (L.G., F.V.), Sorbonne Université, INSERM Unité 1135, Centre d'Immunologie et des Maladies Infectieuses (L.G.), Assistance Publique-Hôpitaux de Paris, Groupe Hospitalier Universitaire Sorbonne Université, Hôpital Pitié-Salpêtrière, Centre National de Référence des Mycobactéries et de la Résistance des Mycobactéries aux Antituberculeux (L.G.), and Epicentre (M.G., E. Baudin), Paris, and Translational Research on HIV and Endemic and Emerging Infectious Diseases, Montpellier Université de Montpellier, Montpellier, Institut de Recherche pour le Développement, Montpellier, INSERM, Montpellier (M.B.) - all in France; Interactive Development and Research, Singapore (U.K.); McGill University, Epidemiology, Biostatistics, and Occupational Health, Montreal (U.K.); UCSF Center for Tuberculosis (G.E.V., P.N., P.P.J.P.) and the Division of HIV, Infectious Diseases, and Global Medicine (G.E.V.), University of California at San Francisco, San Francisco; the National Scientific Center of Phthisiopulmonology (A.A., E. Berikova) and the Center of Phthisiopulmonology of Almaty Health Department (A.K.), Almaty, and the City Center of Phthisiopulmonology, Astana (Z.D.) - all in Kazakhstan; Médecins Sans Frontières (C.B., I.M.), the Medical Research Council Clinical Trials Unit at University College London (I.M.), and St. George's University of London Institute for Infection and Immunity (S.W.) - all in London; MedStar Health Research Institute, Washington, DC (M.C.); Médecins Sans Frontières, Mumbai (V. Chavan), the Indian Council of Medical Research Headquarters-New Delhi, New Delhi (S. Panda), and the Indian Council of Medical Research-National AIDS Research Institute, Pune (S. Patil) - all in India; the Centre for Infectious Disease Epidemiology and Research (V. Cox) and the Department of Medicine (H. McIlleron), University of Cape Town, and the Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine (S.W.) - both in Cape Town, South Africa; the Institute of Tropical Medicine, Antwerp, Belgium (B. C. J.); Médecins Sans Frontières, Geneva (G.F., N.L.); Médecins Sans Frontières, Yerevan, Armenia (O.K.); the National Center for Tuberculosis and Lung Diseases, Tbilisi, Georgia (N.K.); Partners In Health (M.K.) and Jhpiego Lesotho (L.O.) - both in Maseru; Socios En Salud Sucursal Peru (L.L., S.M.-T., J.R., E.S.-G., D.E.V.-V.), Hospital Nacional Sergio E. Bernales, Centro de Investigacion en Enfermedades Neumologicas (E.S.-G.), Hospital Nacional Dos de Mayo (E.T.), Universidad Nacional Mayor de San Marcos (E.T.), and Hospital Nacional Hipólito Unanue (D.E.V.-V.) - all in Lima; Global Health and Social Medicine, Harvard Medical School (L.L., K.J.S., M.L.R., C.D.M.), Partners In Health (L.L., K.J.S., M.L.R., C.D.M.), the Division of Global Health Equity, Brigham and Women's Hospital (K.J.S., M.L.R., C.D.M.), the Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, (L.T.), and Harvard T.H. Chan School of Public Health (L.T.) - all in Boston; and the Indus Hospital and Health Network, Karachi, Pakistan (H. Mushtaque, N.S.).
Background: For decades, poor treatment options and low-quality evidence plagued care for patients with rifampin-resistant tuberculosis. The advent of new drugs to treat tuberculosis and enhanced funding now permit randomized, controlled trials of shortened-duration, all-oral treatments for rifampin-resistant tuberculosis.
Methods: We conducted a phase 3, multinational, open-label, randomized, controlled noninferiority trial to compare standard therapy for treatment of fluoroquinolone-susceptible, rifampin-resistant tuberculosis with five 9-month oral regimens that included various combinations of bedaquiline (B), delamanid (D), linezolid (L), levofloxacin (Lfx) or moxifloxacin (M), clofazimine (C), and pyrazinamide (Z).
mBio
January 2025
Department of Microbiology and Immunology, University of Iowa, Iowa City, Iowa, USA.
Unlabelled: Post-acute sequelae of COVID-19 involves several organs, but its basis remains poorly understood. Some infected cells in mice survive the acute infection and persist for extended periods in the respiratory tract but not in other tissues. Here, we describe two experimental models of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection to assess the effect of viral virulence on previously infected cells.
View Article and Find Full Text PDFMetabol Open
March 2025
Department of Pharmaceutical Chemistry, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India.
The highly nuanced transition from an inflammatory process to tumorigenesis is of great scientific interest. While it is well known that environmental stimuli can cause inflammation, less is known about the oncogenic modifications that chronic inflammation in the tissue microenvironment can bring about, as well as how these modifications can set off pro-tumorigenic processes. It is clear that no matter where the environmental factors come from, maintaining an inflammatory microenvironment encourages carcinogenesis.
View Article and Find Full Text PDFJ Comput Assist Tomogr
January 2025
Centre for Biomedical Engineering, Indian Institute of Technology Delhi.
Objective: Early diagnosis of primary and metastatic lung nodules is critical for effective therapeutic planning. Manual delineation of lung nodules is not time-efficient and is prone to human error as well as interobserver and intraobserver variability. This study aimed to address the unmet need for an open-source computer-aided detection (CAD) system for 3D segmentation of lung and metastatic lung nodules along with radiomic feature extraction.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!