Results 111 to 120 of about 2,598,515 (356)

R‐APEX: A Knowledge Graph–Based Platform for the Elucidation of the Toxicological Mechanisms of Ambient Particulate Matter

Advanced Intelligent Systems, EarlyView.
R‐APEX is a knowledge graph platform developed to investigate how air pollutants such as particularly fine particulate matter (PM2.5) affect human health. By integrating large‐scale biomedical data and using machine learning, it reveals pollutant–gene–disease associations.
Zhixing Zhu, Jingcheng Yang, Xiaofei Li, Zhijie Zheng, Georgi Z. Genchev, Yuchen Ye, Liang Liu, Zihan Ran   +7 more
wiley   +1 more source

Density Functional Theory–Spectroscopy Integrated Identification Method Encompassing Experimental and Theoretical Analyses for Designer Drug Stimulants

Advanced Intelligent Systems, EarlyView.
A novel approach integrates gas chromatography‐mass spectrometry with infrared, Raman, and nuclear magnetic resonance spectroscopy plus density functional theory to detect synthetic drugs. Quantum hyperpolarization further boosts NMR sensitivity for low‐concentration samples, improving detection accuracy in complex mixtures and offering promising ...
Keunhong Jeong, Youngjoon Jeon, Sein Min, Tae In Ryu, Young Wook Yoon, Yoonjae Cho, Seung‐Ryul Hwang, Hye Jin Jeong, Sung Soo Kim   +8 more
wiley   +1 more source

HD Physiology Project-Japanese efforts to promote multilevel integrative systems biology and physiome research. [PDF]

, 2017
The HD Physiology Project is a Japanese research consortium that aimed to develop methods and a computational platform in which physiological and pathological information can be described in high-level definitions across multiple scales of time and size.
for HD physiology project investigators, Furutani, Kazuharu, Kurachi, Yoshihisa, Tsumoto, Kunichika   +3 more
core  

Metabolic Patterning on a Chip: Towards in vitro Liver Zonation of Primary Rat and Human Hepatocytes

, 2018
An important number of healthy and diseased tissues shows spatial variations in their metabolic capacities across the tissue. The liver is a prime example of such heterogeneity where the gradual changes in various metabolic activities across the liver ...
Eo, Jinsu, Kang, Young Bok (Abraham), Mert, Safak, Usta, O. Berk, Yarmush, Martin L.   +4 more
core   +1 more source

Equitable Collaboration Between LMIC and HIC Researchers, Part I: A Preliminary Framework for Capacity Building in Psychiatric Genetics Research

American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, EarlyView.
ABSTRACT International collaborations between high‐income countries (HICs) and low‐ and middle‐income countries (LMICs) have become increasingly essential in advancing global health, particularly within psychiatric research. These partnerships not only accelerate scientific discovery and enhance public health, but they also bring to light significant ...
Brenda Cabrera‐Mendoza, Margit Burmeister, Marcella Rietschel, David Crepaz‐Keay, Yatan Pal Singh Balhara, Soraya Seedat, Victoria Marshe, Sian Hemmings, Roseann Peterson, Ruchika Kaushik, Biju Viswanath, Reeteka Sud, Partha Haldar, Mandy Johnstone, Anish V. Cherian, Todd Lencz, Janneke Zinkstok, Renato Polimanti, Daniel J. Mueller, Gabriel Lázaro‐Muñoz, Chunyu Liu, Nurnberger John I, Humberto Nicolini, Consuelo Walss‐Bass, Marcos Santoro, Sujata Satapathy, Chittaranjan Behera, Anna R. Docherty   +27 more
wiley   +1 more source

Progress in Biomimetic Microdevices for Anticancer Drug Screening and their Potential for Enhancing In Vivo Efficacy

Advanced NanoBiomed Research, EarlyView.
Biomimetic microdevices are redefining anticancer drug screening by mimicking complex tumor microenvironments. This review highlights advances in microfluidic systems, cell microarrays, and in vivo‐like models, offering new insights into drug efficacy prediction and personalized medicine. The development of effective anticancer drugs remains a critical
Ching‐Te Kuo, Yen‐Tzu Liao, Hsinyu Lee   +2 more
wiley   +1 more source

A Novel Machine Learning Model and a Web Portal for Predicting the Human Skin Sensitization Effects of Chemical Agents

Toxics
Skin sensitization is a significant concern for chemical safety assessments. Traditional animal assays often fail to predict human responses accurately, and ethical constraints limit the collection of human data, necessitating a need for reliable in ...
Ricardo Scheufen Tieghi, José Teófilo Moreira-Filho, Holli-Joi Martin, James Wellnitz, Miguel Canamary Otoch, Marielle Rath, Alexander Tropsha, Eugene N. Muratov, Nicole Kleinstreuer   +8 more
doaj   +1 more source

Mycotoxin exposure and human cancer risk : a systematic review of epidemiological studies

, 2020
In recent years, there has been an increasing interest in investigating the carcinogenicity of mycotoxins in humans. This systematic review aims to provide an overview of data linking exposure to different mycotoxins with human cancer risk. Publications (
Castegnaro M., De Ruyck K., Eaton D. L., European Food Safety Authority (EFSA), Forner A., Halabi K., Huang C., Huang X., IARC, IARC, Knutsen H. K., Knutsen H. K., Peraica M., Ramljak D., Steinkellner H., Stephany R. W., The Commission of the European Communities   +16 more
core   +2 more sources

Artificial Intelligence and Machine Learning Models for Predicting Drug-Induced Kidney Injury in Small Molecules

Pharmaceuticals
Background/Objectives: Drug-Induced Kidney Injury (DIKI) presents a significant challenge in drug development, often leading to clinical-stage failures. The early prediction of DIKI risk can improve drug safety and development efficiency. Existing models
Mohan Rao, Vahid Nassiri, Sanjay Srivastava, Amy Yang, Satjit Brar, Eric McDuffie, Clifford Sachs   +6 more
doaj   +1 more source

Designing New Natural‐Mimetic Phosphatidic Acid: a Versatile and Innovative Synthetic Strategy for Glycerophospholipid Research

Angewandte Chemie International Edition, Accepted Article.
Glycerophospholipids (GPLs) play important roles in cellular compartmentalization and signaling. Among them, phosphatidic acids (PA) exist as many distinct species depending on acyl chain composition, each one potentially displaying unique signaling function.
Antoine Schlichter, Alexander Wolf, Thomas Ferrand, Aurelien Cocq, Lina Riachy, Steven Vertueux, Brice Beauvais, Marine Courvalet, Paul-Joël Henry, Emeline Tanguy, Louis Gonzales, Rémy Ferlet, Fanny Laguerre, Charles Decraene, Alexia Pellissier, Muriel Sebban, Cyrille Sabot, Lydie Jeandel, Sarah Cianférani, Jean-Marc Strub, Magalie Bénard, Victor Flon, Valérie Peulon-Agasse, Pascal Cardinael, Stéphane Ory, Stéphane Gasman, Pierre-Yves Renard, Maïté Montero-Hadjadje, Nicolas Vitale, Balieu Sébastien   +29 more
wiley   +1 more source