Patient involvement in health research is rarely driven solely by patients, who could be considered to have the highest degree of investment in such research. In the Kidney Connect project, the patients have been the driving force. This commentary considers the following questions: How did we, as patients, lead the work as the driving force in the project? What went well and what did not go so well from our perspective? How did the project compare with work driven by researchers? We argue that projects driven solely by either patients or researchers each have their own limitations. Projects driven solely by patients have some limitations in their robustness, rigour, and likelihood of publication. Nevertheless, a project driven solely by patients has been able to produce findings that are broadly comparable to a project driven solely by researchers that employed methods ensuring robustness and rigour. We suggest collaboration between patients and researchers also for projects driven by patients.
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http://dx.doi.org/10.1186/s40900-023-00432-7 | DOI Listing |
J Bus Ethics
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Science Policy Research Unit, University of Sussex, Falmer, UK.
This paper analyses the right to repair (R2R) movement through the lens of radical democracy, elucidating the opportunities and limitations for advancing a democratic repair ethics against a backdrop of power imbalances and vested interests. We commence our analysis by exploring broader political-economic trends, demonstrating that Original Equipment Manufacturers (OEMs) are increasingly shifting towards asset-based repair strategies. In this landscape, hegemony is preserved not solely through deterrence tactics like planned obsolescence but also by conceding repairability while monopolizing repair and maintenance services.
View Article and Find Full Text PDFMol Cancer Ther
January 2025
University of Michigan-Ann Arbor, Ann Arbor, MI, United States.
Up to 90% of high-grade serous ovarian cancer (HGSC) patients will develop resistance to platinum-based chemotherapy, posing substantial therapeutic challenges due to a lack of universally druggable targets. Leveraging BenevolentAI's AI-driven approach to target discovery, we screened potential AI-predicted therapeutic targets mapped to unapproved tool compounds in patient-derived 3D models. This identified TNIK, which is modulated by NCB-0846, as a novel target for platinum-resistant HGSC.
View Article and Find Full Text PDFTransplant Cell Ther
January 2025
Chair of Hematology, University of Milan; Division of Hematology and Stem Cell Transplantation, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano.
Background: Anti-CD19 CAR T-cells have revolutionized outcomes in relapsed/refractory large B-cell lymphomas. Long-term follow-up underscored the role of hematological toxicity in non-relapse mortality, largely driven by infections, leading to the development of the CAR-HEMATOTOX (HT) score for predicting neutropenia. The European scientific community (EHA/EBMT) later reached a consensus, defining a new entity: immune effector cell-associated hematotoxicity (ICAHT).
View Article and Find Full Text PDFNeuroimage
January 2025
Integrated Program in Neuroscience, McGill University, Montreal, Quebec, Canada; Department of Physiology, McGill University, Montreal, Quebec, Canada. Electronic address:
In response to sensory deprivation, the brain adapts to efficiently navigate a modified perceptual environment through a process referred to as compensatory crossmodal plasticity, allowing the remaining senses to repurpose deprived regions and networks. A mechanism that has been proposed to contribute to this plasticity involves adaptations within subcortical nuclei that trigger cascading effects throughout the brain. The current study uses 7T MRI to investigate the effect of perinatal deafness on the volumes of subcortical structures in felines, focusing on key sensory nuclei within the brainstem and thalamus.
View Article and Find Full Text PDFBr J Hosp Med (Lond)
January 2025
Department of Gastroenterology, Nantong First People's Hospital, Affiliated Hospital 2 of Nantong University, Nantong, Jiangsu, China.
Artificial intelligence (AI), with advantages such as automatic feature extraction and high data processing capacity and being unaffected by fatigue, can accurately analyze images obtained from colonoscopy, assess the quality of bowel preparation, and reduce the subjectivity of the operating physician, which may help to achieve standardization and normalization of colonoscopy. In this study, we aimed to explore the value of using an AI-driven intestinal image recognition model to evaluate intestinal preparation before colonoscopy. In this retrospective analysis, we analyzed the clinical data of 98 patients who underwent colonoscopy in Nantong First People's Hospital from May 2023 to October 2023.
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