Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
In this study, we developed and validated a fast, specific, sensitive, precise and stability-indicating high performance liquid chromatography (HPLC) method to determine the drug apocynin in bovine serum albumin (BSA) nanoparticles. Chromatographic analyses were performed on an RP C column and using a photodiode array detector at a wavelength of 276 nm. Mobile phase consisted of a mixture of aceto...
Many stroke patients suffer from the drop foot syndrome, which is characterized by a limited ability to lift (the lateral and/or medial edge of) the foot and leads to a pathological gait. In this contribution, we consider the treatment of this syndrome via functional electrical stimulation (FES) of the peroneal nerve during the swing phase of the paretic foot. A novel three-electrodes setup allows...
Using macrophage recruitment in tumors, we develop active, transportable, cancer theragnostic macrophage-based microrobots as vector to deliver therap...
Prebiotics are used to influence the growth, colonization, survival, and activity of probiotics, and enhance the innate immunity, thus improving the h...
This paper presents a haptic assistance strategy for teleoperation that makes a task and situation-specific compromise between improving tracking perf...
An effective fuzzy auto-seed cluster means morphological algorithm developed in this work to segment the lung nodules from the consecutive slices of C...
BACKGROUND: The most common approach to studying dynamic balance during walking is by applying perturbations. Previous studies that investigated dynam...
This paper proposes an adaptive shape kernel-based mean shift tracker using a single static camera for the robot vision system. The question that we a...
Powered robotic exoskeletons are a potential intervention for gait rehabilitation in stroke to enable repetitive walking practice to maximize neural r...
BACKGROUND: Patients affected by mild stroke benefit more from physiological overground walking training than walking-like training performed in place...
The application of the Quality by Design principles is one of the key issues of the recent pharmaceutical developments. In the past decade a lot of kn...
OBJECTIVE: (1) To develop an automated algorithm to predict a patient's response (ie, if the patient agrees or declines) before he/she is approached f...
We describe a new hyper-heuristic method NELLI-GP for solving job-shop scheduling problems (JSSP) that evolves an ensemble of heuristics. The ensemble...
There is a long-standing, sometimes contentious debate in AI concerning the relative merits of a symbolic, top-down approach vs. a neural, bottom-up a...
In this paper, we propose a supervised domain adaptation (DA) framework for adapting decision forests in the presence of distribution shift between tr...
The MIT-Skywalker is a novel robotic device developed for the rehabilitation or habilitation of gait and balance after a neurological injury. It repre...
Nitrification at a full-scale activated sludge plant treating municipal wastewater was monitored over a period of 237 days. A combination of fluoresce...
Peptides' retention time prediction is gaining increasing popularity in liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based proteomics. Th...
Several robotics applications require high torque-to-weight ratio and energy efficient actuators. Progress in that direction was made by introducing c...
BACKGROUND: Understanding the mechanisms by which transcription factors (TF) are recruited to their physiological target sites is crucial for understa...