Machine Learning‐Driven QSAR Modeling of Anticancer Activity from a Rationally Designed Synthetic Flavone Library
Sign Up to like & getrecommendations! Published in 2025 at "ChemMedChem"
DOI: 10.1002/cmdc.202500143
Abstract: Flavones, recognized as "privileged scaffolds" in drug discovery, hold significant promise as anticancer agents. This study develops a quantitative structure–activity relationship (QSAR) model to accelerate the optimization of lead compounds. Using pharmacophore modeling against different… read more here.
Keywords: anticancer; driven qsar; anticancer activity; machine learning ... See more keywords
Machine learning‐driven diagnostic signature provides new insights in clinical management of hypertrophic cardiomyopathy
Sign Up to like & getrecommendations! Published in 2024 at "ESC Heart Failure"
DOI: 10.1002/ehf2.14762
Abstract: In an era of evolving diagnostic possibilities, existing diagnostic systems are not fully sufficient to promptly recognize patients with early‐stage hypertrophic cardiomyopathy (HCM) without symptomatic and instrumental features. Considering the sudden death of HCM, developing… read more here.
Keywords: diagnostic signature; driven diagnostic; signature provides; machine learning ... See more keywords
The cerebral, extra-cerebral bodily, and socio-cultural dimensions of enculturated arithmetical cognition
Sign Up to like & getrecommendations! Published in 2019 at "Synthese"
DOI: 10.1007/s11229-019-02238-1
Abstract: Arithmetical cognition is the result of enculturation. On a personal level of analysis, enculturation is a process of structured cultural learning that leads to the acquisition of evolutionarily recent, socio-culturally shaped arithmetical practices. On a… read more here.
Keywords: arithmetical cognition; extra cerebral; enculturated arithmetical; cerebral extra ... See more keywords
Machine Learning-Driven Identification of Blood-Based Biomarkers and Therapeutic Agents for Personalized Ischemic Stroke Management
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Cardiovascular Translational Research"
DOI: 10.1007/s12265-025-10635-w
Abstract: Ischemic stroke (IS) is the most common subtype of stroke. However, reliable blood biomarkers for early diagnosis remain unavailable. This study developed a predictive model based on peripheral blood (PB) biomarkers. PB samples from two… read more here.
Keywords: ischemic stroke; machine learning; learning driven; blood ... See more keywords
Machine Learning-Driven Dual-Recognition Magnetic Imprinted Polymers: Host-Guest/Aptamer Synergy Enabling Ultrasensitive Chloramphenicol Detection.
Sign Up to like & getrecommendations! Published in 2025 at "Analytical chemistry"
DOI: 10.1021/acs.analchem.5c03202
Abstract: To address the challenges in detecting chloramphenicol (CAP) in complex food matrices, this study developed a magnetic solid-phase microextraction coupled with a high-performance liquid chromatography (MSPME-HPLC) system that integrates machine learning and molecular recognition. The… read more here.
Keywords: detection; recognition; machine learning; learning driven ... See more keywords
Deep Learning-Driven Optimization of Antihypertensive Properties from Whey Protein Hydrolysates: A Multienzyme Approach.
Sign Up to like & getrecommendations! Published in 2024 at "Journal of agricultural and food chemistry"
DOI: 10.1021/acs.jafc.4c10830
Abstract: This study utilized deep learning to optimize antihypertensive peptides from whey protein hydrolysate. Using the Large Language Models (LLMs), we identified an optimal multienzyme combination (MC5) with an ACE inhibition rate of 89.08% at a… read more here.
Keywords: deep learning; driven optimization; optimization antihypertensive; whey protein ... See more keywords
Machine-Learning-Driven High-Throughput Screening of Transition-Metal Atom Intercalated g-C3N4/MX2 (M = Mo, W; X = S, Se, Te) Heterostructures for the Hydrogen Evolution Reaction.
Sign Up to like & getrecommendations! Published in 2024 at "ACS applied materials & interfaces"
DOI: 10.1021/acsami.3c17389
Abstract: Rising global energy demand, accompanied by environmental concerns linked to conventional fossil fuels, necessitates a shift toward cleaner and sustainable alternatives. This study focuses on the machine-learning (ML)-driven high-throughput screening of transition-metal (TM) atom intercalated… read more here.
Keywords: high throughput; machine learning; site; learning driven ... See more keywords
Machine Learning-Driven Data Fusion of Chromatograms, Plasmagrams, and IR Spectra of Chemical Compounds of Forensic Interest
Sign Up to like & getrecommendations! Published in 2025 at "ACS Omega"
DOI: 10.1021/acsomega.4c10107
Abstract: Achieving fast analytical results on-site with the highest possible accuracy in forensic analyses is crucial for investigations. While portable sensors are essential for crime scene analysis, they often face limitations in sensitivity and specificity, especially… read more here.
Keywords: crime; data fusion; machine learning; accuracy ... See more keywords
Machine learning-driven electronic identifications of single pathogenic bacteria
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-72508-3
Abstract: A rapid method for screening pathogens can revolutionize health care by enabling infection control through medication before symptom. Here we report on label-free single-cell identifications of clinically-important pathogenic bacteria by using a polymer-integrated low thickness-to-diameter… read more here.
Keywords: machine learning; pathogenic bacteria; learning driven; driven electronic ... See more keywords
Machine learning-driven imaging data for early prediction of lung toxicity in breast cancer radiotherapy
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-02617-4
Abstract: One possible adverse effect of breast irradiation is the development of pulmonary fibrosis. The aim of this study was to determine whether planning CT scans can predict which patients are more likely to develop lung… read more here.
Keywords: breast; lung; driven imaging; machine ... See more keywords
Deep learning-driven IoT solution for smart tomato farming
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-15615-3
Abstract: The rising food demand and challenges with respect to the climate have made precision agriculture (PA) vital for sustainable crop production. This study presents an IoT-based smart greenhouse platform tailored for tomato farming, integrating environmental… read more here.
Keywords: deep learning; tomato farming; driven iot; solution smart ... See more keywords