Results 271 to 280 of about 23,119,930 (306)

From risk factors to predictive modelling: applying machine learning to childhood malaria surveillance in resource-limited settings. [PDF]

BMC Infect Dis
Ashaolu JO, Akanji TS, Ayansola VI, Olawale-Succes OO, Sunday AJ, Some SYM.   +5 more
europepmc   +1 more source

Therapeutic Antibodies for Mosquito‐Borne Orthoflavivirus Infections: Discovery, Engineering Approaches, and Advances in mRNA‐Based Delivery Systems

Advanced Therapeutics, EarlyView.
This review explores how antibody engineering and display technologies are driving therapeutic advances against mosquito‐borne orthoflaviviruses such as Zika, dengue, and yellow fever viruses. It highlights diverse neutralizing targets on the envelope protein, including the conserved fusion loop, and discusses how Fc engineering, rational antigen ...
Ana Clara Barbosa Antonelli, Lucas Silva Rodrigues, Maria Clara Moura Pinheiro, Sylvia Barbosa Pinhate, Marcelo de Macedo Brígido, Andréa Queiroz Maranhão   +5 more
wiley   +1 more source

Probabilistic assessment of human instability in urban areas exposed to flood events. [PDF]

Sci Rep
Bernardini G, Lagona F, Mingione M, Postacchini M.   +3 more
europepmc   +1 more source

First‐Principles Structure–Activity Relationship Insights Into Phenolic Scaffolds: QSAR Modeling and Drug‐Likeness Screening

Advanced Theory and Simulations, EarlyView.
Integrated machine learning framework for phenolic derivatives: classification (toxicity) and regression (logP) models identify top drug‐like compounds. Random Forest outperformed for toxicity, while Linear Regression best predicted logP. A weighted scoring approach prioritized five safe, lipophilicity‐optimized candidates, supporting rational ...
Houria Nacer, Sridhar Priyankha, Gopal Hema, Anouar Zerouali, Hamza Haddag, Muneerah Mogren Al Mogren, Muthuramalingam Prakash, Majdi Hochlaf   +7 more
wiley   +1 more source

Modeling growth performance of heterogeneous rabbits in a pastured system using nonlinear, spline and random regression models. [PDF]

Vet Anim Sci
Bashiru HA, Oseni SO.
europepmc   +1 more source

Excessive DNA Double‐Strand Breaks–Associated 3D Genome Reorganization Contributes to Neural Tube Defects with Folate Deficiency

Advanced Science, EarlyView.
Neural tube defects (NTDs) are among the most common congenital malformations. However, the underlying etiology and mechanism remain elusive. Here, the role of DNA double‐strand breaks (DSBs) in 3D genome organization within the NTDs with folate deficiency is reported.
Ting Zhang, Lin Lin, Jianting Li, Caihua Li, Shengjun Liang, Xuemei Bai, Fang Wang, Yihua Bao, Dan Guo, Xiaochen Bo, Hao Li, Hebing Chen, Qiu Xie   +12 more
wiley   +1 more source

Machine Learning for Predicting Long-Term Cardiovascular Outcomes in Kidney Transplant Recipients. [PDF]

JACC Adv
Park WD, DeLonais-Parker A, Okeke B, Lentine KL, Benjamin MM, SLU Transplant Rx research Group.   +5 more
europepmc   +1 more source

VDLIN: A Deep Learning‐Based Platform for Methylcobalamin‐Inspired Immunomodulatory Compound Screening

Advanced Science, EarlyView.
Using the convolutional neural network model VDLIN, Co7 is identified as a promising therapeutic candidate. Co7 demonstrates distinct advantages over MCB by effectively balancing anti‐inflammatory and immune‐stimulatory functions, making it a potential novel approach for immune modulation.
Xuefei Guo, Yang Zhao, Xianle Rong, Chenxi Niu, Shiyu Hu, Qiang Liu, Fuping You   +6 more
wiley   +1 more source

Risk factors for hematuria during indwelling urinary catheterization in acute myocardial infarction: a comparative analysis using logistic regression and decision tree. [PDF]

Front Cardiovasc Med
Zhang J, Huang SB, Peng DN, Huang J, Chen YJ, Yang LL.   +5 more
europepmc   +1 more source

Mechanobiological Dynamics‐Inspired Mechanomodulatory Biomaterials

Advanced Science, EarlyView.
Recent advances in biomaterial‐mediated mechanomodulation of stem cell fate, encompassing 2, 3, and 4D systems and their synergy with artificial intelligence is overviewed. By integrating knowledge from diverse fields, this review ultimately aims to inspire the design of smarter biomaterial systems that can accelerate the clinical translation of ...
Letao Yang, Pengfei Jiang, Joshua B Stein, Yannan Hou, Chaochen Zhou, Heemin Kang, Ki‐Bum Lee   +6 more
wiley   +1 more source