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Infection control / Modes of transmission

Latest AI and machine learning research in infection control / modes of transmission for healthcare professionals.

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Automatic real-time gait event detection in children using deep neural networks.

Annotation of foot-contact and foot-off events is the initial step in post-processing for most quant...

Predicting Hemodynamic Shock from Thermal Images using Machine Learning.

Proactive detection of hemodynamic shock can prevent organ failure and save lives. Thermal imaging i...

DeepCDpred: Inter-residue distance and contact prediction for improved prediction of protein structure.

Rapid, accurate prediction of protein structure from amino acid sequence would accelerate fields as ...

Acute Retroviral Syndrome Presenting as Acute Hepatitis.

Acute retroviral syndrome (ARS) can present as a wide array of clinical manifestations. Establishing...

Microfluidic droplets content classification and analysis through convolutional neural networks in a liquid biopsy workflow.

In a recent paper we presented an innovative method of liquid biopsy, for the detection of circulati...

Discrimination of contagious and environmental strains of Streptococcus uberis in dairy herds by means of mass spectrometry and machine-learning.

Streptococcus uberis is one of the most common pathogens of clinical mastitis in the dairy industry....

Detection of herpesvirus capsids in transmission electron microscopy images using transfer learning.

The detailed analysis of secondary envelopment of the Human betaherpesvirus 5/human cytomegalovirus ...

Optimal trajectory generation for time-to-contact based aerial robotic perching.

Many biological organisms (e.g. insects, birds, and mammals) rely on the perception of an informatio...

Femoral Contact Forces in the Anterior Cruciate Ligament Deficient Knee: A Robotic Study.

PURPOSE: To measure contact forces (CFs) at standardized locations representative of clinical articu...

Mexican oregano () essential oil-in-water emulsions: impact of emulsifier type on the antifungal activity of .

This study examined the impact of emulsifier type on the physicochemical characteristics and antifun...

Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling.

We review some of the latest approaches to analysing cardiac electrophysiology data using machine le...

Machine learning and structural analysis of Mycobacterium tuberculosis pan-genome identifies genetic signatures of antibiotic resistance.

Mycobacterium tuberculosis is a serious human pathogen threat exhibiting complex evolution of antimi...

Evaluation of robot-assisted MRI-guided prostate biopsy: needle path analysis during clinical trials.

While the interaction between a needle and the surrounding tissue is known to cause a significant ta...

Synthesis of Patient-Specific Transmission Data for PET Attenuation Correction for PET/MRI Neuroimaging Using a Convolutional Neural Network.

Attenuation correction is a notable challenge associated with simultaneous PET/MRI, particularly in ...

Use of Machine Learning on Contact Lens Sensor-Derived Parameters for the Diagnosis of Primary Open-angle Glaucoma.

PURPOSE: To test the hypothesis that contact lens sensor (CLS)-based 24-hour profiles of ocular volu...

A new computational intelligence approach to detect autistic features for autism screening.

Autism Spectrum Disorder (ASD) is one of the fastest growing developmental disability diagnosis. Gen...

UAVs, Hyperspectral Remote Sensing, and Machine Learning Revolutionizing Reef Monitoring.

Recent advances in unmanned aerial system (UAS) sensed imagery, sensor quality/size, and geospatial ...

Mapping the transmission risk of Zika virus using machine learning models.

Zika virus, which has been linked to severe congenital abnormalities, is exacerbating global public ...

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