Results 121 to 130 of about 13,208 (247)

Smart Design: Integrating Artificial Intelligence and Gene Editing for Advanced mRNA Therapeutics

MedComm – Biomaterials and Applications, Volume 5, Issue 3, September 2026.
The challenges of mRNA therapy and the application of artificial intelligence and gene editing in the field of mRNA drugs. ABSTRACT Artificial intelligence (AI) and gene editing are increasingly being applied to the design and evaluation of mRNA therapeutics.
Haixing Shi, Shengbin Liu, Danni Dai, Shanhui Jiang, Tingchen Tian, Zhenyi Niu, Zhongzheng Xiang, Chaoyu Zou, Fang Liu, Xue Tang, Xin Jiang, Xiangrong Song   +11 more
wiley   +1 more source

Listeria Genome Identification Using DNABERT Embedding With LightGBM and SHAP-Based Explainable Classification. [PDF]

Bioinform Biol Insights
Arumugam SR, P AJ, Karuppasamy SG, Murugan VS, Mbasso WF, Harrison A.   +5 more
europepmc   +1 more source

Genomic prediction in quinoa across contrasting environments using statistical and machine learning models

The Plant Genome, Volume 19, Issue 3, September 2026.
Abstract Quinoa (Chenopodium quinoa Willd.) is gaining global importance for its nutritional value and adaptability; however, breeding progress remains limited. Genomic selection (GS), combined with rapid generation cycles, offers a strategy to accelerate genetic improvement.
Clara S. Stanschewski, Mark Warmington, Irfan Afzal, Elodie Rey, Gabriele Fiene, Evan Craine, Kevin Murphy, Mark Tester, Jesse Poland   +8 more
wiley   +1 more source

Predicting Post-Craniotomy Intracranial Infection Using Perioperative and Early Postoperative Variables: A Retrospective Machine Learning Study. [PDF]

Int J Gen Med
Zhong Z, Zhang L, Yu P, Xu B.
europepmc   +1 more source

Multi‐Modal AI Approach in Depression Detection and Treatment: A Systematic Review of Last Decade

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
Overview of multimodal approaches for depression detection and treatment. ABSTRACT Depression is a common and devastating mental health illness with serious personal and societal consequences. Despite advancing treatment techniques, there are still hurdles in the effective diagnosis and treatment of depression, such as prompt diagnosis, personalized ...
Smith K. Khare, Esmaeil S. Nadimi, U. Rajendra Acharya, Victoria Blanes‐Vidal   +3 more
wiley   +1 more source

Applying explainable artificial intelligence to interpret supervised ensemble learning models for robust credit card fraud detection. [PDF]

Sci Rep
Awad SS, Hamza AA, Sobh MA, Bahaa-Eldin AM.   +3 more
europepmc   +1 more source

Predicting Asthma Exacerbation Risk in the Adult South Korean Population Using Integrated Health Data and Machine Learning Models

Journal of Asthma and Allergy
Joon Young Choi,1 Chin Kook Rhee2 1Department of Internal Medicine, Incheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea; 2Department of Internal Medicine, Seoul St.
Choi JY, Rhee CK
doaj  

Automated Alignment of Math Items to Content Standards in Large‐Scale Assessments Using Language Models

Educational Measurement: Issues and Practice, Volume 45, Issue 3, Fall 2026.
Abstract Accurate alignment of items to content standards is critical for valid score interpretation in large‐scale assessments. This study evaluates three automated paradigms for aligning Math items with four domain labels and nineteen skill labels.
Qingshu Xu, Hong Jiao, Tianyi Zhou, Ming Li, Nan Zhang, Sydney Peters, Yanbin Fu   +6 more
wiley   +1 more source

MBUCF: a cross-fusion method for multimodal breast ultrasound based on multidimensional features. [PDF]

Quant Imaging Med Surg
Li Y, Liu R, Wei X.
europepmc   +1 more source

Molecular descriptor driven QSPR modeling of Papp, TEER and Efflux Ratio from Caco‐2 cells using machine learning for various phytochemicals

Journal of the Science of Food and Agriculture, Volume 106, Issue 11, Page 6606-6616, 30 August 2026.
Abstract BACKGROUND The present study aimed to develop and validate quantitative structure–property relationship (QSPR) models for predicting permeability related bioavailability indicators including apparent permeability (Papp), trans‐epithelial electrical resistance (TEER) and efflux ratio (ER) based on molecular descriptors (n = 5003) of 83 ...
Jin‐Woo Kim, Rixing Cong, Jin‐Soo Park, Keunwan Park, Kyungsu Kang, Soon‐Mi Shim   +5 more
wiley   +1 more source