[HTML][HTML] IgG glycans in health and disease: Prediction, intervention, prognosis, and therapy

S Shkunnikova, A Mijakovac, L Sironic, M Hanic… - Biotechnology …, 2023 - Elsevier
Immunoglobulin (IgG) glycosylation is a complex enzymatically controlled process, essential
for the structure and function of IgG. IgG glycome is relatively stable in the state of …

Quantum machine learning revolution in healthcare: a systematic review of emerging perspectives and applications

U Ullah, B Garcia-Zapirain - IEEE Access, 2024 - ieeexplore.ieee.org
Quantum computing (QC) stands apart from traditional computing systems by employing
revolutionary techniques for processing information. It leverages the power of quantum bits …

Burden of serious harms from diagnostic error in the USA

DE Newman-Toker, N Nassery… - BMJ Quality & …, 2024 - qualitysafety.bmj.com
Background Diagnostic errors cause substantial preventable harms worldwide, but rigorous
estimates for total burden are lacking. We previously estimated diagnostic error and serious …

[HTML][HTML] Carbon nanotube and its derived nanomaterials based high performance biosensing platform

J Mondal, JM An, SS Surwase, K Chakraborty… - Biosensors, 2022 - mdpi.com
After the COVID-19 pandemic, the development of an accurate diagnosis and monitoring of
diseases became a more important issue. In order to fabricate high-performance and …

[HTML][HTML] Virtual reality in simulation-based emergency skills training: A systematic review with a narrative synthesis

JR Abbas, MMH Chu, C Jeyarajah, R Isba, A Payton… - Resuscitation …, 2023 - Elsevier
Objective An important role is predicted for virtual reality (VR) in the future of medical
education. We performed a systematic review of the literature with a narrative synthesis, to …

[HTML][HTML] Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging

R Osuala, K Kushibar, L Garrucho, A Linardos… - Medical Image …, 2023 - Elsevier
Despite technological and medical advances, the detection, interpretation, and treatment of
cancer based on imaging data continue to pose significant challenges. These include inter …

[HTML][HTML] Educational strategies in the health professions to mitigate cognitive and implicit bias impact on decision making: a scoping review

J Thompson, H Bujalka, S McKeever, A Lipscomb… - BMC Medical …, 2023 - Springer
Background Cognitive and implicit biases negatively impact clinicians' decision-making
capacity and can have devastating consequences for safe, effective, and equitable …

[HTML][HTML] Leveraging transcriptomics for precision diagnosis: Lessons learned from cancer and sepsis

M Tsakiroglou, A Evans, M Pirmohamed - Frontiers in Genetics, 2023 - frontiersin.org
Diagnostics require precision and predictive ability to be clinically useful. Integration of multi-
omic with clinical data is crucial to our understanding of disease pathogenesis and …

[HTML][HTML] Communication of diagnostic uncertainty in primary care and its impact on patient experience: an integrative systematic review

MR Dahm, W Cattanach, M Williams… - Journal of general …, 2023 - Springer
Background Diagnostic uncertainty is a pervasive issue in primary care where patients often
present with non-specific symptoms early in the disease process. Knowledge about how …

A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics

HM Rai, J Yoo - Journal of Cancer Research and Clinical Oncology, 2023 - Springer
Purpose There are millions of people who lose their life due to several types of fatal
diseases. Cancer is one of the most fatal diseases which may be due to obesity, alcohol …