The role of artificial intelligence in deciphering diet–disease relationships: case studies
Modernization of society from a rural, hunter-gatherer setting into an urban and industrial
habitat, with the associated dietary changes, has led to an increased prevalence of …
habitat, with the associated dietary changes, has led to an increased prevalence of …
When machine learning and deep learning come to the big data in food chemistry
Since the first food database was released over one hundred years ago, food databases
have become more diversified, including food composition databases, food flavor …
have become more diversified, including food composition databases, food flavor …
Development and validation of an explainable machine learning-based prediction model for drug–food interactions from chemical structures
Possible drug–food constituent interactions (DFIs) could change the intended efficiency of
particular therapeutics in medical practice. The increasing number of multiple-drug …
particular therapeutics in medical practice. The increasing number of multiple-drug …
Drug-food interactions with a focus on Mediterranean diet
There is a growing interest among people in western countries for adoption of healthier
lifestyle habits and diet behaviors with one of the most known ones to be Mediterranean diet …
lifestyle habits and diet behaviors with one of the most known ones to be Mediterranean diet …
Developing a knowledge graph for pharmacokinetic natural product-drug interactions
Background Pharmacokinetic natural product-drug interactions (NPDIs) occur when
botanical or other natural products are co-consumed with pharmaceutical drugs. With the …
botanical or other natural products are co-consumed with pharmaceutical drugs. With the …
Mechanism-driven and clinically focused development of botanical foods as multitarget anticancer medicine: Collective perspectives and insights from preclinical …
X Wang, YS Chan, K Wong, R Yoshitake, D Sadava… - Cancers, 2023 - mdpi.com
Simple Summary In this review, we have conducted an extensive literature review and have
drawn from our collective experiences to outline critical insights in designing preclinical …
drawn from our collective experiences to outline critical insights in designing preclinical …
Polypharmacy and precision medicine
K Fujita, N Masnoon, J Mach, LK O'Donnell… - Cambridge Prisms …, 2023 - cambridge.org
Precision medicine is an approach to maximise the effectiveness of disease treatment and
prevention and minimise harm from medications by considering relevant demographic …
prevention and minimise harm from medications by considering relevant demographic …
Interactional behaviour of analgesic drugs in aqueous solution of caffeine at different temperatures using multi-technique approach
Drug combination therapies have been a promising strategy to overcome drug resistance.
However, unexpected drug–drug interaction may cause adverse reactions, which puts …
However, unexpected drug–drug interaction may cause adverse reactions, which puts …
DDID: a comprehensive resource for visualization and analysis of diet–drug interactions
Diet–drug interactions (DDIs) are pivotal in drug discovery and pharmacovigilance. DDIs
can modify the systemic bioavailability/pharmacokinetics of drugs, posing a threat to public …
can modify the systemic bioavailability/pharmacokinetics of drugs, posing a threat to public …
Enriching the FIDEO ontology with food-drug interactions from online knowledge sources
The increasing number of articles on adverse interactions that may occur when specific
foods are consumed with certain drugs makes it difficult to keep up with the latest findings …
foods are consumed with certain drugs makes it difficult to keep up with the latest findings …