Participation in research is supposed to be voluntary and informed. Yet it is difficult to ensure people are adequately informed about the potential uses of their biological materials when they donate samples for future research. We propose a novel consent framework which we call "demonstrated consent" that leverages blockchain technology and generative AI to address this problem. In a demonstrated consent model, each donated sample is associated with a unique non-fungible token (NFT) on a blockchain, which records in its metadata information about the planned and past uses of the sample in research, and is updated with each use of the sample. This information is accessible to a large language model (LLM) customized to present this information in an understandable and interactive manner. Thus, our model uses blockchain and generative AI technologies to track, make available, and explain information regarding planned and past uses of donated samples.
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http://dx.doi.org/10.1080/15265161.2024.2416117 | DOI Listing |
Appl Biochem Biotechnol
January 2025
Department of Botany, Maharshi Dayanand University, Rohtak, 124001, India.
Cellulase was effectively immobilized onto an epoxy-bound chitosan-modified zinc metal-organic framework (epoxy/ZIF-8/CS/cellulase) support, yielding a conjugation rate of 0.64 ± 0.02 mg/cm2 and retaining 80.
View Article and Find Full Text PDFJ Patient Rep Outcomes
January 2025
Psycho-Oncology Cooperative Research Group, School of Psychology, Faculty of Science, The University of Sydney, Camperdown, NSW, 2006, Australia.
Purpose: Informal caregivers of people with high grade glioma (HGG) often have high levels of unmet support needs. Routine screening for unmet needs can facilitate appropriate and timely access to supportive care. We aimed to develop a brief screening tool for HGG caregiver unmet needs, based on the Supportive Care Needs Survey-Partners & Caregivers (SCNS-P&C).
View Article and Find Full Text PDFSurg Today
January 2025
Department of Gastroenterological Surgery, Hyogo Medical University, 1-1 Mukogawa, Nishinomiya, Hyogo, 663-8501, Japan.
Purpose: The double-flap technique (DFT) is an anti-reflux reconstruction procedure performed after proximal gastrectomy (PG), but its complexity and high incidence of anastomotic stenosis are problematic. We conducted this study to demonstrate the efficacy of robot-assisted DFT, with refinements, to address these issues.
Methods: Surgical outcomes were compared between the following procedures modified over time at our institution: conventional open DFT (group O, n = 16); early robotic DFT (group RE, n = 19), which follows the conventional open PG approach; and late robotic DFT (group RL, n = 21), which incorporates refinements to the early robotic DFT technique by exploiting more of the robotic capabilities available.
Insights Imaging
January 2025
Department of Orthopaedics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China.
Introduction: A large number of middle-aged and elderly patients have an insufficient understanding of osteoporosis and its harm. This study aimed to establish and validate a convolutional neural network (CNN) model based on unenhanced chest computed tomography (CT) images of the vertebral body and skeletal muscle for opportunistic screening in patients with osteoporosis.
Materials And Methods: Our team retrospectively collected clinical information from participants who underwent unenhanced chest CT and dual-energy X-ray absorptiometry (DXA) examinations between January 1, 2022, and December 31, 2022, at four hospitals.
EJNMMI Radiopharm Chem
January 2025
Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Background: Poly (ADP-ribose) polymerase (PARP) enzymes are crucial for the repair of DNA single-strand breaks and have become key therapeutic targets in homologous recombination-deficient cancers, including prostate cancer. To enable non-invasive monitoring of PARP-1 expression, several PARP-1-targeting positron emission tomography (PET) tracers have been developed. Here, we aimed to preclinically investigate [carbonyl-C]DPQ as an alternative PARP-1 PET tracer as it features a strongly distinct chemotype compared to the frontrunners [F]FluorThanatrace and [F]PARPi.
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