AIMC Topic: Humans

Clear Filters Showing 3331 to 3340 of 95995 articles

Prediction of high-performing spleen-targeted lipid nanoparticles using a deep learning model for robust anticancer immunotherapy.

Journal of materials chemistry. B
Messenger RNA (mRNA) therapeutics hold significant potential across a wide range of medical applications. LNPs are the most clinically advanced mRNA delivery vehicles, but challenges such as off-target effects and liver accumulation limit their broad...

Early clinical evaluation of a machine-learning system for risk prediction of trauma-induced coagulopathy in the prehospital setting.

Emergency medicine journal : EMJ
BACKGROUND: Early intervention in patients with major traumatic injuries is critical. Decision support can improve clinicians' ability to identify high-risk patients. The aim of this study was to compare the performance of a machine-learning (ML) dec...

Water meter reading recognition method based on character attention mechanism.

PloS one
With the rapid advancement of computer vision technology, traditional manual methods of reading meters are increasingly being replaced by automated water meter reading technologies based on image recognition. This technology can precisely locate and ...

Voice clones sound realistic but not (yet) hyperrealistic.

PloS one
AI-generated voices are increasingly prevalent in our lives, via virtual assistants, automated customer service, and voice-overs. With increased availability and affordability of AI-generated voices, we need to examine how humans perceive them. Recen...

An encrypted traffic classification method based on autoencoders and convolutional neural networks.

PloS one
To solve the problems of existing encrypted traffic classification methods, such as the need for large-scale training data, high computational costs, and poor generalization ability, an encrypted traffic classification method based on autoencoders an...

Industrial robot application and total factor productivity of manufacturing enterprises.

PloS one
In the context of intensifying global competitiveness and rapid technological advancement, industrial robots have emerged as a pivotal component in the integration of digital technology, exerting a vital influence on the transformation and enhancemen...

Prediction of biological age using machine learning.

PloS one
In response to Taiwan's rapidly aging population and the rising demand for personalized health care, accurately assessing individual physiological aging has become an essential area of study. This research utilizes health examination data to propose ...

Immune subtyping of lymph node metastasis-negative colorectal cancer reveals biomarkers for prognosis and immunotherapy response.

PloS one
BACKGROUND: Lymph node metastasis (LNM) is a key prognostic factor in colorectal cancer (CRC), and early lymph node status assessment is crucial for prognosis and immunotherapy decisions. However, the immune characteristics of LNM-negative CRC remain...

Frontier research on the risk of spoilage microorganisms in refrigerated marine fish: From regional to global perspectives.

International journal of food microbiology
Microbial spoilage is creating safety risks and significant wastage of refrigerated marine fish. Spoilage microorganisms possess distinct physiological adaptations that enable them to contribute to the spoilage of refrigerated marine fish, thereby co...

Defining individualized theta frequency for memory modulation: A machine learning approach across brain states and regions.

NeuroImage
Recent transcranial alternating current stimulation (tACS) studies suggest that theta-frequency stimulation can modulate memory performance, with evidence highlighting individual variability in optimal stimulation frequency. However, it remains uncle...