Prescriptions

Home care professionals' experiences of successful implementation, use and competence needs of robot for medication management in Finland.

AIM: To describe home care professionals' individual experiences of the implementation, use and competence needs of a robot for medication management in older people's home care.

CADD, AI and ML in drug discovery: A comprehensive review.

Computer-aided drug design (CADD) is an emerging field that has drawn a lot of interest because of its potential to expedite and lower the cost of the drug development process. Drug discovery research is expensive and time-consuming, and it frequently took 10-15 years for a drug to be commercially available. CADD has significantly impacted this area of research. Further, the combination of CADD wi...

Selective Inhibitor Design for Kinase Homologs Using Multiobjective Monte Carlo Tree Search.

Designing highly selective molecules for a drug target protein is a challenging task in drug discovery. This task can be regarded as a multiobjective ...

Humans modulate arm stiffness to facilitate motor communication during overground physical human-robot interaction.

Humans can physically interact with other humans adeptly. Some overground interaction tasks, such as guiding a partner across a room, occur without vi...

Application of Computational Biology and Artificial Intelligence in Drug Design.

Traditional drug design requires a great amount of research time and developmental expense. Booming computational approaches, including computational ...

Developing an AI-assisted clinical decision support system to enhance in-patient holistic health care.

Holistic health care (HHC) is a synonym for complete patient care, and as such an efficient clinical decision support system (CDSS) for HHC is critica...

Liver lesion changes analysis in longitudinal CECT scans by simultaneous deep learning voxel classification with SimU-Net.

The identification and quantification of liver lesions changes in longitudinal contrast enhanced CT (CECT) scans is required to evaluate disease statu...

DeepLPI: a novel deep learning-based model for protein-ligand interaction prediction for drug repurposing.

The substantial cost of new drug research and development has consistently posed a huge burden for both pharmaceutical companies and patients. In orde...

Joint Interaction and Mutual Understanding in Social Robotics.

Social robotics aims at designing robots capable of joint interaction with humans. On a conceptual level, sufficient mutual understanding is usually s...

Semisupervised neural biomedical sense disambiguation approach for aspect-based sentiment analysis on social networks.

Patient narratives on social networks contain large amounts of objective information, such as the descriptions of examinations and interventions. Sent...

Deep learning detector for high precision monitoring of cell encapsulation statistics in microfluidic droplets.

Encapsulation of cells inside microfluidic droplets is central to several applications involving cellular analysis. Although, theoretically the encaps...

Modeling and insights into the structural characteristics of drug-induced autoimmune diseases.

The incidence and complexity of drug-induced autoimmune diseases (DIAD) have been on the rise in recent years, which may lead to serious or fatal cons...

Raman spectroscopy combined with deep learning for rapid detection of melanoma at the single cell level.

Melanoma is an aggressive and metastatic skin cancer caused by genetic mutations in melanocytes, and its incidence is increasing year by year. Underst...

A Survey on Medical Explainable AI (XAI): Recent Progress, Explainability Approach, Human Interaction and Scoring System.

The emerging field of eXplainable AI (XAI) in the medical domain is considered to be of utmost importance. Meanwhile, incorporating explanations in th...

Getting More Out of Large Databases and EHRs with Natural Language Processing and Artificial Intelligence: The Future Is Here.

Electronic health records (EHRs) have created great opportunities to collect various information from clinical patient encounters. However, most EHR d...

A Force-Feedback Methodology for Teleoperated Suturing Task in Robotic-Assisted Minimally Invasive Surgery.

With robotic-assisted minimally invasive surgery (RAMIS), patients and surgeons benefit from a reduced incision size and dexterous instruments. Howeve...

Comparing the applications of machine learning, PBPK, and population pharmacokinetic models in pharmacokinetic drug-drug interaction prediction.

The gold-standard approach for modeling pharmacokinetic mediated drug-drug interactions is the use of physiologically-based pharmacokinetic modeling a...

HRpI System Based on Wavenet Controller with Human Cooperative-in-the-Loop for Neurorehabilitation Purposes.

There exist several methods aimed at human-robot physical interaction (HRpI) to provide physical therapy in patients. The use of haptics has become an...

Human-Robot Cooperative Strength Training Based on Robust Admittance Control Strategy.

A stroke is a common disease that can easily lead to lower limb motor dysfunction in the elderly. Stroke survivors can effectively train muscle streng...

Dynamics of cooperative excavation in ant and robot collectives.

The solution of complex problems by the collective action of simple agents in both biologically evolved and synthetically engineered systems involves ...