Latest AI and machine learning research in prescriptions for healthcare professionals.
The process for drug discovery and development is challenging, time consuming and expensive. Computer-aided drug discovery (CADD) tools can act as a virtual shortcut, assisting in the expedition of this long process and potentially reducing the cost of research and development. Today CADD has become an effective and indispensable tool in therapeutic development. The human genome project has made a...
Leveraging large historical data in electronic health record (EHR), we developed Doctor AI, a generic predictive model that covers observed medical conditions and medication uses. Doctor AI is a temporal model using recurrent neural networks (RNN) and was developed and applied to longitudinal time stamped EHR data from 260K patients over 8 years. Encounter records (e.g. diagnosis codes, medication...
Sweet potato peels (SPP) are a major waste generated during root processing and currently have little commercial value. Phenolics with free radical sc...
The plethora of biomedical relations which are embedded in medical logs (records) demands researchers' attention. Previous theoretical and practical f...
We have synthesized graphene oxide using improved Hummer's method in order to explore the potential use of the resulting graphene oxide as a nanocarri...
Due to lack of suitable bioanalytical methods in previous literature, for simultaneous estimation of Vitamin K1 isomers, in compliance with the curren...
OBJECTIVE: Given the availability of extensive digitized healthcare data from medical records, claims and prescription information, it is now possible...
BACKGROUND: Knowledge about drug-drug interactions commonly arises from preclinical trials, from adverse drug reports, or based on knowledge of mechan...
Life-long chronic inflammatory diseases of the airways, such as asthma and Chronic Obstructive Pulmonary Disease, are very common worldwide, affecting...
Information about the interface sites of Protein-Protein Interactions (PPIs) is useful for many biological research works. However, despite the advanc...
INTRODUCTION: An international alert from Becton Dickinson (BD) has noted the possibility of interaction between several molecules and some syringes. ...
Although albendazole is the drug-of-choice for the treatment of neurocysticercosis, its efficacy is limited due to its low bioavailability. An altern...
BACKGROUND: Gene-gene interaction (GGI) is one of the most popular approaches for finding the missing heritability of common complex traits in genetic...
Identifying overlapping protein complexes in protein-protein interaction (PPI) networks can provide insight into cellular functional organization and ...
PURPOSE: Medications with non-standard dosing and unstandardized units of measurement make the estimation of prescribed dose difficult from pharmacy d...
The aging population with its concomitant medical conditions, physical and cognitive impairments, at a time of strained resources, establishes the urg...
We study emerging phenomena in binary neural networks where, with a probability c synaptic intensities are chosen according with a Hebbian prescriptio...
Attributing mind to interaction partners has been shown to increase the social relevance we ascribe to others' actions and to modulate the amount of a...
Human-robot interaction (HRI) will soon transform and shift the communication landscape such that people exchange messages with robots. However, succe...
Abnormality of sensorimotor integration in the basal ganglia and cortex has been reported in the literature for patients with task-specific focal hand...