Results 131 to 140 of about 7,306,095 (347)
The new generation nanobomb, termed the stealth nanobomb, is fabricated through self‐assembly using a polymeric carbon monoxide carrier (PLGA(CO)), small molecule near‐infrared‐active agents (2TT‐OC46B), and phospholipid polyethylene glycol (DSPE‐mPEG2000). The stealth nanobomb can circulate in the bloodstream and specifically target pancreatic cancer,
Gongcheng Ma+10 more
wiley +1 more source
adobe medicus 2015 5 September-October [PDF]
https://digitalrepository.unm.edu/adobe-medicus/1077/thumbnail ...
Health Sciences Library and Informatics Center
core +1 more source
Computational Simulations of Metal–Organic Frameworks to Enhance Adsorption Applications
This review highlights the significance of molecular simulations in expanding the understanding of metal–organic frameworks (MOFs) and improving their gas adsorption applications. The historical development and implementation of molecular simulations in the MOF field are given, high‐throughput computational screening studies used to unlock the ...
Hilal Daglar+3 more
wiley +1 more source
HSLIC Annual Report FY2002-03 [PDF]
https://digitalrepository.unm.edu/hslic-annual-reports/1013/thumbnail ...
Health Sciences Library and Informatics Center
core +1 more source
Public and Population Health Informatics: The Bridging of Big Data to Benefit Communities
Summary Objective: To summarize the recent public and population health informatics literature with a focus on the synergistic “bridging” of electronic data to benefit communities and other populations.
R. Gamache, Hadi Kharrazi, J. Weiner
semanticscholar +1 more source
The SciAgents AI model drives hypothesis generation by harnessing multi‐agent graph reasoning, extracting insights from knowledge graphs constructed from scientific papers. Each agent plays a specific role: the Ontologist defines concepts, the Scientists draft and refine proposals, and the Critic reviews.
Alireza Ghafarollahi, Markus J. Buehler
wiley +1 more source
Eating Smart: Advancing Health Informatics with the Grounding DINO based Dietary Assistant App [PDF]
The Smart Dietary Assistant utilizes Machine Learning to provide personalized dietary advice, focusing on users with conditions like diabetes. This app leverages the Grounding DINO model, which combines a text encoder and image backbone to enhance food item detection without requiring a labeled dataset. With an AP score of 52.5 on the COCO dataset, the
arxiv +1 more source
adobe medicus 2016 1 January-February [PDF]
https://digitalrepository.unm.edu/adobe-medicus/1033/thumbnail ...
Health Sciences Library and Informatics Center
core +1 more source
Background For many people, tracking health indicators is central to managing a chronic illness. However, previous informatics research has largely viewed tracking as a solitary process that lacks the characteristics essential to tracking in support of ...
L. Vizer+5 more
semanticscholar +1 more source
Machine Learning in Polymer Research
Artificial intelligence (AI) has permeated every aspect of science, including polymer research. Researchers from both fields need to collaborate to understand the challenges and opportunities of each domain. This review is therefore written by mathematicians and polymer chemists to highlight the key research questions polymer chemists aim to address ...
Wei Ge+4 more
wiley +1 more source