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Latest AI and machine learning research in prescriptions for healthcare professionals.

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CCL-DTI: contributing the contrastive loss in drug-target interaction prediction.

BACKGROUND: The Drug-Target Interaction (DTI) prediction uses a drug molecule and a protein sequence...

ConTIG: Continuous representation learning on temporal interaction graphs.

Representation learning on temporal interaction graphs (TIG) aims to model complex networks with the...

MFD-GDrug: multimodal feature fusion-based deep learning for GPCR-drug interaction prediction.

The accurate identification of drug-protein interactions (DPIs) is crucial in drug development, espe...

A robot-rodent interaction arena with adjustable spatial complexity for ethologically relevant behavioral studies.

Outside of the laboratory, animals behave in spaces where they can transition between open areas and...

The Role of Coherent Robot Behavior and Embodiment in Emotion Perception and Recognition During Human-Robot Interaction: Experimental Study.

BACKGROUND: Social robots are becoming increasingly important as companions in our daily lives. Cons...

Validated respiratory drug deposition predictions from 2D and 3D medical images with statistical shape models and convolutional neural networks.

For the one billion sufferers of respiratory disease, managing their disease with inhalers crucially...

SSF-DDI: a deep learning method utilizing drug sequence and substructure features for drug-drug interaction prediction.

BACKGROUND: Drug-drug interactions (DDI) are prevalent in combination therapy, necessitating the imp...

IUPHAR Review: New strategies for medications to treat substance use disorders.

Substance use disorders (SUDs) and drug overdose are a public health emergency and safe and effectiv...

A magnetic multi-layer soft robot for on-demand targeted adhesion.

Magnetic soft robots have shown great potential for biomedical applications due to their high shape ...

NeuroAIreh@b: an artificial intelligence-based methodology for personalized and adaptive neurorehabilitation.

Cognitive impairments are a prevalent consequence of acquired brain injury, dementia, and age-relate...

SSLDTI: A novel method for drug-target interaction prediction based on self-supervised learning.

Many computational methods have been proposed to identify potential drug-target interactions (DTIs) ...

Mechanically Robust and Linearly Sensitive Soft Piezoresistive Pressure Sensor for a Wearable Human-Robot Interaction System.

Soft piezoresistive pressure sensors play an underpinning role in enabling a plethora of future Inte...

Augmented drug combination dataset to improve the performance of machine learning models predicting synergistic anticancer effects.

Combination therapy has gained popularity in cancer treatment as it enhances the treatment efficacy ...

Effect of palladium(II) complexes on NorA efflux pump inhibition and resensitization of fluoroquinolone-resistant : and approach.

leads to diverse infections, and their treatment relies on the use of antibiotics. Nevertheless, th...

PeNet: A feature excitation learning approach to advertisement click-through rate prediction.

Since the physical meaning of the fields of the dataset is unknown, we have to use the feature inter...

AI for targeted polypharmacology: The next frontier in drug discovery.

In drug discovery, targeted polypharmacology, i.e., targeting multiple molecular targets with a sing...

Effectiveness of continuity of care after robot-assisted laparoscopic adrenalectomy under ambulatory mode: a single-center intervention study.

To investigate the effectiveness of continuity of care after robot-assisted adrenal tumor resection ...

Antifungal activity of the repurposed drug disulfiram against .

Fungal infections have become clinically challenging owing to the emergence of drug resistance in in...

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