Latest AI and machine learning research in devices and vaccines for healthcare professionals.
In this article we comment on the paper by Xu describing retrospective data on endoscopic treatment outcome of esophageal gastrointestinal stromal tumors (GISTs). Esophageal GIST is a rare type of mesenchymal tumor. GISTs originate from the interstitial cells of Cajal, which are pacemaker cells involved in gut motility. GISTs are most commonly found in the stomach and small intestine, but esophag...
The rapid advancement of implantable biomedical materials necessitates a comprehensive understanding of macrophage interactions to optimize implant immunocompatibility. Macrophages, key immune regulators, exhibit phenotypic plasticity by polarizing into pro-inflammatory (M1) or anti-inflammatory (M2) subtypes. Conventional phenotyping techniques, such as flow cytometry and immunostaining, provide ...
Novel psychoactive substances (NPS) pose one of the greatest challenges across the illicit drug landscape. They can be highly potent, and coupled with...
Respiratory viral infections pose a global health burden, yet the cellular immune responses driving protection or pathology remain unclear. Natural ...
Knowledge distillation (KD) is a core component in the training and deployment of modern generative models, particularly large language models (LLMs...
For the elderly population, falls pose a serious and increasing risk of serious injury and loss of independence. In order to overcome this difficult...
Doctors and patients alike increasingly use Large Language Models (LLMs) to diagnose clinical cases. However, unlike domains such as math or coding,...
Mobile robots are reaching unprecedented speeds, with platforms like Unitree B2, and Fraunhofer O3dyn achieving maximum speeds between 5 and 10 m/s....
Analog in-memory computing is a next-generation computing paradigm that promises fast, parallel, and energy-efficient deep learning training and tra...
Clinical trials are vital for evaluation of safety and efficacy of new treatments. However, clinical trials are resource-intensive, time-consuming a...
Sentiment analysis of content is highly essential for myriad natural language processing tasks. Particularly, as the movies are often created on the b...
In the dentistry field, dental caries is a common issue affecting all age groups. The presence of dental braces and dental restoration makes the detec...
Research utilizing the open-access MAUDE database frequently reveals unclear methodologies for extracting and processing medical device report (MDR) d...
Large language models (LLMs) excel at generating long-form responses, but evaluating their factuality remains challenging due to complex inter-sente...
State-of-the-art spatio-temporal action detection (STAD) methods show promising results for extracting soccer events from broadcast videos. However,...
Sybil attacks pose a significant security threat to blockchain ecosystems, particularly in token airdrop events. This paper proposes a novel sybil a...
There are currently no licensed vaccines for norovirus, a leading cause of epidemic and endemic gastroenteritis worldwide. Clinical advancement of pro...
BACKGROUND/OBJECTIVES: Venezuelan equine encephalitis virus (VEEV) represents a significant biothreat with no FDA-approved vaccine currently available...
Artificial intelligence (AI) is revolutionizing the field of orthopedic bioengineering by increasing diagnostic accuracy and surgical precision and im...
Events cameras are ideal sensors for enabling robots to detect and track objects in highly dynamic environments due to their low latency output, hig...