Medicaid

Low-cost robotic manipulation of live microtissues for cancer drug testing.

The scarcity of human biopsies available for drug testing is a paramount challenge for developing th...

Design of Low-Cost and Highly Energy-Efficient Convolutional Neural Networks Based on Deterministic Encoding.

Stochastic Computing has attracted extensive attention in the deployment of neural networks at the e...

The nucleus accumbens-prefrontal connectivity as a predictor of chronic low back pain.

The nucleus accumbens (NAc) and its prefrontal connections are implicated in the aetiology of chroni...

Towards Skin Cancer Detection Through Low Resolution Images.

Currently, dermatologists need to check numerous image reports (high resolution) for diagnosing skin...

Perceptions of the German General Population Towards Implementing Artificial Intelligence in Medical Care: A Population-Based Survey.

The rise of artificial intelligence (AI) in medical care presents several opportunities, including i...

N!CA: Towards Digitalisation of Innovative Care Processes to Unburden and Empower Nurses.

Demand for nursing care will intensify in the coming decades based on demographics, chronic diseases...

Artificial intelligence enhanced microfluidic system for multiplexed point-of-care-testing of biological thiols.

Cysteamine (CA) serves as a cystine-depleting agent employed in the management of cystinosis and a r...

Prediction and Stage Classification of Pressure Ulcers in Intensive Care Patients by Machine Learning.

Pressure ulcers are a serious clinical problem associated with high morbidity, mortality and health...

Machine learning workflows beyond linear models in low-data regimes.

Data-driven methodologies are transforming chemical research by providing chemists with digital tool...

An Interlayer Strategy for Low-Voltage Thin-Film Organic Electrochemical Transistors.

Solid-state organic electrochemical transistors (SS-OECTs) are promising candidates for next-generat...

Innovative fast and low-cost method for the detection of living bacteria based on trajectory.

Detection of pathogens is a major concern in many fields like medicine, pharmaceuticals, or agri-foo...

Linguistic Markers of Pain Communication on X (Formerly Twitter) in US States With High and Low Opioid Mortality: Machine Learning and Semantic Network Analysis.

BACKGROUND: The opioid epidemic in the United States remains a major public health concern, with opi...

The utility of low-dose pre-operative CT of ovarian tumor with artificial intelligence iterative reconstruction for diagnosing peritoneal invasion, lymph node and hepatic metastasis.

PURPOSE: Diagnosis of peritoneal invasion, lymph node metastasis, and hepatic metastasis is crucial ...

Initial Experience With Low-Dose 18F-Fluorodeoxyglucose Positron Emission Tomography/Magnetic Resonance Imaging With Deep Learning Enhancement.

OBJECTIVE: To demonstrate the utility of deep learning enhancement (DLE) to achieve diagnostic quali...

Bridging the dermatological divide: The ethical deployment of artificial intelligence in low-resource settings.

Identification of HER2-over-expression, HER2-low-expression, and HER2-zero-expression statuses in breast cancer based on F-FDG PET/CT radiomics.

PURPOSE: According to the updated classification system, human epidermal growth factor receptor 2 (H...

Groupwise image registration with edge-based loss for low-SNR cardiac MRI.

PURPOSE: The purpose of this study is to perform image registration and averaging of multiple free-b...

Assessing the impact of low-temperature stress during anthesis stage on winter wheat grain development through computer vision and machine learning.

BACKGROUND: Extreme weather events, particularly spring low-temperature stress exacerbated by global...

MHNfs: Prompting In-Context Bioactivity Predictions for Low-Data Drug Discovery.

Today's drug discovery increasingly relies on computational and machine learning approaches to ident...

Performance of fully automated deep-learning-based coronary artery calcium scoring in ECG-gated calcium CT and non-gated low-dose chest CT.

OBJECTIVES: This study aimed to validate the agreement and diagnostic performance of a deep-learning...

Application of machine learning in identifying risk factors for low APGAR scores.

BACKGROUND: Identifying the risk factors for low APGAR scores at birth is critical for improving neo...