Results 101 to 110 of about 31,165,528 (246)

Differential expression of cancer‐related genes supports prediction of poor response to first‐line treatments in T‐ALL pediatric patients with high minimal residual disease

Molecular Oncology, EarlyView.
In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera, Laura Vela‐Martín, Pablo Fernández‐Navarro, José Luis López‐Lorenzo, Javier Cornago, Pilar Llamas, Eduardo Pérez‐Gómez, José Luis Marín‐Rubio, Manuel Fresno, Javier Santos, José Fernández‐Piqueras, María Villa‐Morales   +11 more
wiley   +1 more source

An Extended UTAUT Model to Explain Factors Influencing Smart City Technology Adoption

Human Behavior and Emerging Technologies
This study examines determinants of smart city technologies adoption in the United Arab Emirates' regional cities by extending the Unified Theory of Acceptance and Use of Technology (UTAUT). The pertinent literature has been thoroughly examined.
Ahed Al-Haraizah, Malik Jawarneh, Rajendra Kumar, Diana Abdulrazaq Khrisat, Omar Isam Al Mrayat   +4 more
doaj   +1 more source

Primary health care facility readiness to implement primary eye care in Nigeria: equipment, infrastructure, service delivery and health management information systems. [PDF]

BMC Health Serv Res, 2021
Aghaji A, Burchett HED, Oguego N, Hameed S, Gilbert C.   +4 more
europepmc   +1 more source

Transcriptional profiling of circulating extracellular vesicles from prebiopsy prostate cancer patients

Molecular Oncology, EarlyView.
RNA profiling of circulating extracellular vesicles (EVs) from blood samples of men undergoing prostate biopsy identifies transcripts associated with clinically significant prostate cancer. Integrative analysis with public tumor datasets links EV‐derived gene signatures to tumor stage and progression‐free survival, highlighting CASP3, XRCC2, and RIT1 ...
Stefan Werner, Pierre Tennstedt, Randi C. Pose, Christian Müller, Katharina Besler, Svenja Schneegans, Malik Alawi, Marie C. Roesch, Sven Peine, Desiree Bonci, Joanna Budna‐Tukan, Evi Lianidou, Catherine Alix‐Panabières, Derya Tilki, Klaus Pantel   +14 more
wiley   +1 more source

Managing Emerging Infectious Diseases with Information Systems: Reconceptualizing Outbreak Management through the Lens of Loose Coupling

, 2012
Increasing global connectivity makes emerging infectious diseases (EID) more threatening than ever before. Various information systems (IS) projects have been undertaken to enhance public health capacity for detecting EID in a timely manner and ...
Chen, Yi-Da; Brown, Susan A.; Hu, Paul Jen-Hwa; King, Chwan-Chuen; Chen, Hsinchun, 金傳春   +1 more
core   +1 more source

Estimating population-based coverage of reproductive, maternal, newborn, and child health (RMNCH) interventions from health management information systems: a comprehensive review. [PDF]

BMC Health Serv Res, 2021
Mwinnyaa G, Hazel E, Maïga A, Amouzou A.   +3 more
europepmc   +1 more source

A novel quinazolinone insulin receptor inhibitor and its synergy with an EGFR inhibitor in glucose‐driven glioblastoma

Molecular Oncology, EarlyView.
The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka, Wioleta Cieślik, Wojciech Płaziński, Katarzyna Stępnik, Anna Boguszewska‐Czubara, Elżbieta Kot, Robert Musioł, Mateusz Jasica, Anna Mrozek‐Wilczkiewicz, Katarzyna Malarz   +9 more
wiley   +1 more source

Integrated Financial Management Information Systems: Guidelines for effective implementation by the public sector of South Africa

South African Journal of Information Management, 2012
Background: Integrated Financial Management Information Systems (IFMIS) can improve public sector management by providing real-time financial information to managers in order to enhance their decision-making capabilities.
Christoffel J. Hendriks
doaj  

An explainable artificial intelligence feature selection framework for transparent, trustworthy, and cost-efficient energy forecasting

Energy and AI
Accurate forecasting of renewable power generation is crucial for grid stability and cost efficiency. Feature selection in AI-based forecasting remains challenging due to high data acquisition cost, lack of transparency, and limited user control.
Leonard Kost, Sarah K. Lier, Michael H. Breitner   +2 more
doaj   +1 more source

Estimation of health impact from digitalizing last-mile Logistics Management Information Systems (LMIS) in Ethiopia, Tanzania, and Mozambique: A Lives Saved Tool (LiST) model analysis. [PDF]

PLoS One, 2021
Fritz J, Herrick T, Gilbert SS.
europepmc   +1 more source