Results 101 to 110 of about 61,068 (254)

Autonomous Navigation of Pollen‐Inspired Magnetic Microrobots for Biomedical Applications

Advanced Robotics Research, EarlyView.
A sunflower pollen‐inspired magnetic microrobot enables controlled rolling navigation in vessel‐like environments. Its open geometry reduces hydrodynamic drag, while vision‐based closed‐loop control, shortest‐path planning, and reinforcement learning support target‐reaching and maze navigation with microrobot‐scale accuracy, highlighting a route toward
Ali Anil Demircali, Abdurrahim Yilmaz, Meysam Keshavarz, Jinshi Zhao, Ara Darzi, Eric Yeatman, Burak Temelkuran   +6 more
wiley   +1 more source

Gradient boosting machine learning model to predict aflatoxins in Iowa corn. [PDF]

Front Microbiol, 2023
Branstad-Spates EH, Castano-Duque L, Mosher GA, Hurburgh CR, Owens P, Winzeler E, Rajasekaran K, Bowers EL.   +7 more
europepmc   +1 more source

Targeting UXS1‐Dependent Glucuronate Detoxification Potentiates Metformin's Anti‐Tumor Efficacy in Lung Adenocarcinoma

Advanced Science, EarlyView.
This study reveals that metformin promotes glucuronic acid metabolism in lung adenocarcinoma by activating UGDH S476 phosphorylation and enhancing the conversion of UDPG to UDPGA based on metabolomics analysis. Through compound virtual screening, it is found that plantainoside targeting UGDH downstream UXS1 leads to UDPGA toxicity accumulation ...
Qihai Sui, Zhencong Chen, Guangyao Shan, Zhengyang Hu, Xing Jin, Jiaqi Liang, Yanjun Yi, Jiacheng Yin, Haochun Shi, Xifei Jiang, Junjie Xi, Zongwu Lin, Cheng Zhan, Fenghao Sun, Wei Jiang   +14 more
wiley   +1 more source

Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences

Advanced Science, EarlyView.
This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu, Pan Zhang, Shangqian Wu, Hao Sun, Minwei Li, Sophia Tsoka, Zizhang Sheng, Lei Deng   +7 more
wiley   +1 more source

Reassessment of pelvic radiographic measurements for delivery prediction using machine learning

Computer Methods and Programs in Biomedicine Update
Background and Objective: Pelvimetry has historically shown limitations in diagnosing cephalopelvic disproportion, yet recent evidence suggests potential predictive value.
Ayano Suemori, Jota Maki, Hikaru Ooba, Hikari Nakato, Keiichi Oishi, Tomohiro Mitoma, Sakurako Mishima, Akiko Ohira, Satoe Kirino, Eriko Eto, Hisashi Masuyama   +10 more
doaj   +1 more source

An efficient churn prediction model using gradient boosting machine and metaheuristic optimization. [PDF]

Sci Rep, 2023
AlShourbaji I, Helian N, Sun Y, Hussien AG, Abualigah L, Elnaim B.   +5 more
europepmc   +1 more source

Spatial Engineering of Gas Diffusion Layers Overcomes Mass Transport Limitations in Fuel Cells

Advanced Science, EarlyView.
ABSTRACT Mass transport limitations at high current densities hinder polymer electrolyte fuel cell (PEFC) performance due to inefficient water management and reactant distribution. Gas diffusion layer (GDL) perforation offers a potential solution as an alternative to complex flow‐field modifications.
Shangwei Zhou, Wenjia Du, Jianuo Chen, Yunsong Wu, Bochen Li, Jieyang Li, Linlin Xu, Winfried Kockelmann, Meng Lin, Marc‐Olivier Coppens, Paul R Shearing, Rhodri Jervis, Thomas S. Miller   +12 more
wiley   +1 more source

Evaluating the efficiency of NDVI and climatic data in maize harvest prediction using machine learning

International Journal of Digital Earth
Accurate anticipation of the maize harvest date is important in the agricultural market, as it ensures the sustainability of food production in response to the increasing global demand for food.
Mario E. Suaza-Medina, Jorge Laguna, Rubén Béjar, F. Javier Zarazaga-Soria, Javier Lacasta   +4 more
doaj   +1 more source

A Bioinspired Three‐Dimensional High‐Curvature Nano‐Interface Integrated Microfluidic Chip for Small Extracellular Vesicles Enrichment and Machine Learning‐Assisted Prostate Cancer Precision Diagnosis

Advanced Science, EarlyView.
A biotin‐modified artificial insertion peptide functionalized three‐dimensional high‐curvature‐TiO2 nano‐interface was engineered in a microfluidic chip to improve the isolation efficiency of small extracellular vesicles (sEVs). This chip balanced affinity, releasability, and extendibility, enabling high‐throughput recovery of sEVs for downstream ...
Le Wang, Yizhong Liang, Manan Sulaiman, Jiaqi Du, Ming Jiang, Zhihua Wang, Xu Yu, Li Xu   +7 more
wiley   +1 more source

Blood pressure stratification using photoplethysmography and light gradient boosting machine. [PDF]

Front Physiol, 2023
Hu X, Yin S, Zhang X, Menon C, Fang C, Chen Z, Elgendi M, Liang Y.   +7 more
europepmc   +1 more source