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Application of Bacteriophages as a Strategy to Combat Antimicrobial Resistance in Gram-Negative Pathogens
Application of Bacteriophages as a Strategy to Combat Antimicrobial Resistance in Gram-Negative Pathogens

The term bacteriophages (or phages) is derived from Greek and literally translates to “bacteria-eaters”. These bacterial specific viruses have broad applications, but are especially useful as alternatives to antibiotics to. . .

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Parkinson’s Disease Rehabilitation Using Rhythmic Auditory Stimulation
Parkinson’s Disease Rehabilitation Using Rhythmic Auditory Stimulation

Parkinson’s disease (PD) is a neurodegenerative disease that mainly affects the motor system. PD has no known causes, no permanent cure, and limited treatment options. Early symptoms are tremors, rigidity,. . .

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Lymphedema Characterization Using Segmental Bio-Impedance Signals and Early Detection with Machine Learning
Lymphedema Characterization Using Segmental Bio-Impedance Signals and Early Detection with Machine Learning

The term lymphedema is associated with breast cancer. After oncological treatment on this issue, in most of the cases, the lymph fluid in our lymphatic system gets blocked and creates. . .

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sEMG based segmentation parameter influence on Hand gesture recognition using Deep Learning
sEMG based segmentation parameter influence on Hand gesture recognition using Deep Learning

Hand gesture recognition based on surface electromyography (sEMG) is frequently utilised in artificial prostheses, rehabilitation training, and human-computer interfaces. Although deep learning based classification of sEMG has yielded fairly acceptable. . .

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Towards Precision Dosing: AI – Enhanced Model Predictive Control Closed Loop Infusion Pump for ICUs 
Towards Precision Dosing: AI – Enhanced Model Predictive Control Closed Loop Infusion Pump for ICUs 

Intravenous infusion pumps are used in hospitals to deliver medicines such as antibiotics, insulin, hormones, and certain nutrients. Infusion pumps are designed to deliver a preset infusion to the patient.. . .

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