Results 231 to 240 of about 553,685 (362)

Plasma proteomic profiling and molecular clustering reveal immune‐defined prognostic subtypes in lung adenocarcinoma

International Journal of Cancer, EarlyView.
What's New? Lung adenocarcinoma shows considerable heterogeneity in disease progression and therapeutic response. Here, the authors analyzed tumor samples through proteomic profiling and applied network‐based clustering. They identified two distinct patient groups with different demographic, clinical, and molecular characteristics.
Ujjwal Neogi, Anoop T. Ambikan, Kati Turkowski, Marc A. Schneider, Vanessa M. Beutgen, Johannes Graumann, Hauke Winter, Marek Bartkuhn, Werner Seeger, Soni S. Pullamsetti, Rajkumar Savai   +10 more
wiley   +1 more source

Comparative Accuracy Assessment of Large Language Models in Cardiothoracic Anesthesia: A Performance Analysis of Claude and ChatGPT-4 on Subspecialty Board-Style Questions. [PDF]

Cureus
Beil J, Aggarwal I, Devarapalli M.
europepmc   +1 more source

Empirical Study Between Compiled, Interpreted, and Dynamic Programming Languages Applying Stable Ordering Algorithms (Case Study: Java, Python, Jython, Jpype and Py4J)

, 2018
Milton Labanda-Jaramillo, J G Quinche, Luis Chamba-Eras, E Coronel-Romero, J-L Granda, L E C Zhingre   +5 more
openalex   +2 more sources

Quality‐adjusted life years in the presence and absence of organized mammographic screening using data from BreastScreen Norway

International Journal of Cancer, EarlyView.
What's New? Although mammographic screening can reduce breast cancer mortality and extend life, some studies have found a negative impact on net quality‐adjusted life years (QALYs). Here, the authors estimated net QALYs associated with biennial mammographic screening for women aged 50–69 years in Norway under various scenarios.
Rick Groeneweg, Nicolien T. van Ravesteyn, Lindy M. Kregting, Giske Ursin, Solveig Hofvind, Nataliia Moshina   +5 more
wiley   +1 more source

ChatGPT as a Tool for Biostatisticians: A Tutorial on Applications, Opportunities, and Limitations. [PDF]

Stat Med
Dobler D, Binder H, Boulesteix AL, Igelmann JB, Köhler D, Mansmann U, Pauly M, Scherag A, Schmid M, Al Tawil A, Weber S.   +10 more
europepmc   +1 more source

Using artificial intelligence as a technological tool in gynecologic and obstetric health: A narrative literature review

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Maternal mortality remains a critical global public health issue, particularly in low‐ and middle‐income settings where failures in surveillance, early diagnosis, and clinical decision making compromise obstetric care. In this context, the present study aimed to critically review the scientific literature on the use of artificial intelligence (
Gustavo Gonçalves dos Santos
wiley   +1 more source

Energy efficiency in ROS communication: a comparison across programming languages and workloads. [PDF]

Front Robot AI
Albonico M, Cannizza MB, Wortmann A.
europepmc   +1 more source

Medical Data as a Key Asset in the Digital Health Era: A Framework for Challenges and Strategies

iMetaMed, EarlyView.
By conducting case studies and comparative analysis from a global perspective, this study develops the practical framework of Medical Data Element Ecosystem (MDEE)—one that facilitates MDEE construction by guiding actions, informing policy‐making, and enabling stakeholder engagement.
Jian Wang, Anqi Lin, Yedong Huang, Gezheng Li, Tianqi Chen, Chudi Sun, Weiye Qian, Shiqi Ren, Hank Z. H. Wong, Yanxi Ding, Lin Zhang   +10 more
wiley   +1 more source

Improving pre-service teachers' AI competencies: a quasi experimental study. [PDF]

Front Psychol
Han X.
europepmc   +1 more source

Perspectives on the Application of Python and AlpLogo Programming Languages

Rovshan Humbataliyev
openalex   +1 more source