Computational modeling and simulation in oncology

Clin Transl Med. 2025 Sep;15(9):e70456. doi: 10.1002/ctm2.70456.ABSTRACTComputational modeling and simulation are playing an increasingly important role in oncology, bridging biological research, data science and clinical practice to better understand cancer complexity and inform therapeutic develop

Artificial Intelligence-based Liver Volume Measurement Using Preoperative and Postoperative CT Images

Curr Med Imaging. 2025 Aug 29. doi: 10.2174/0115734056394257250818060804. Online ahead of print.ABSTRACTINTRODUCTION: Accurate liver volumetry is crucial for hepatectomy. In this study, we developed and validated a deep learning system for automated liver volumetry in patients undergoing hepatectomy

Targeted Therapies and Computational Approaches in the Management of Crohn's Disease

Curr Gene Ther. 2025 Aug 27. doi: 10.2174/0115665232389255250818093932. Online ahead of print.ABSTRACTCrohn's disease (CD), a chronic inflammatory disorder of the gastrointestinal tract, presents significant challenges in clinical medicine due to its multifactorial etiology and varied therapeutic re

Probing for consciousness in machines

Front Artif Intell. 2025 Aug 20;8:1610225. doi: 10.3389/frai.2025.1610225. eCollection 2025.ABSTRACTThis study explores the potential for artificial agents to develop core consciousness, as proposed by Antonio Damasio's theory of consciousness. According to Damasio, the emergence of core consciousne

Graph neural networks with configuration cross-attention for tensor compilers

Front Artif Intell. 2025 Aug 20;8:1605539. doi: 10.3389/frai.2025.1605539. eCollection 2025.ABSTRACTWith the recent popularity of neural networks comes the need for efficient serving of inference workloads. A neural network inference workload can be represented as a computational graph with nodes as

Association between accelerometer-measured physical activity volume and sleep duration in older adults: a cross-sectional interpretable machine learning analysis

Front Public Health. 2025 Aug 20;13:1635020. doi: 10.3389/fpubh.2025.1635020. eCollection 2025.ABSTRACTOBJECTIVE: This study aimed to examine the relationship between physical activity volume and sleep duration in older adults, using objective monitoring data to investigate their non-linear associat

Parents' understanding and attitudes toward the application of AI in pediatric healthcare: a cross-sectional survey study

Front Public Health. 2025 Aug 20;13:1654482. doi: 10.3389/fpubh.2025.1654482. eCollection 2025.ABSTRACTOBJECTIVE: To investigate parents' understanding and attitudes toward the application of Artificial Intelligence (AI) in pediatric healthcare.METHODS: An observational, cross-sectional study was co

Using reinforcement learning in genome assembly: in-depth analysis of a Q-learning assembler

Front Bioinform. 2025 Aug 20;5:1633623. doi: 10.3389/fbinf.2025.1633623. eCollection 2025.ABSTRACTGenome assembly remains an unsolved problem, and de novo strategies (i.e., those run without a reference) are relevant but computationally complex tasks in genomics. Although de novo assemblers have bee

Novel deep learning for multi-class classification of Alzheimer's in disability using MRI datasets

Front Bioinform. 2025 Aug 20;5:1567219. doi: 10.3389/fbinf.2025.1567219. eCollection 2025.ABSTRACTINTRODUCTION: Alzheimer's disease (AD) is one of the most common neurodegenerative disabilities that often leads to memory loss, confusion, difficulty in language and trouble with motor coordination. Al

Multimodal integration strategies for clinical application in oncology

Front Pharmacol. 2025 Aug 20;16:1609079. doi: 10.3389/fphar.2025.1609079. eCollection 2025.ABSTRACTIn clinical practice, a variety of techniques are employed to generate diverse data types for each cancer patient. These data types, spanning clinical, genomics, imaging, and other modalities, exhibit

Exploration of the path of digital technology empowering the sustainable development of alumni football-a study based on ordinal logistic regression analysis

Front Sports Act Living. 2025 Aug 20;7:1613339. doi: 10.3389/fspor.2025.1613339. eCollection 2025.ABSTRACTINTRODUCTION: In the digital era, professional sports have rapidly embraced technologies such as big data, AI, and the Internet of Things to optimize performance, strategy, and fan engagement. H

Effects of Peer-Delivered Practice Intervention with Fostering Walking Leaders for Participation in Healthy Walking Activities and Awareness of the Community Walking Environment

J Lifestyle Med. 2025 Aug 31;15(2):41-47. doi: 10.15280/jlm.2025.15.2.41.ABSTRACTBACKGROUND: A standardized walking instructor training program and a peer-delivered practice intervention were provided to the residents of a local community to investigate changes in their awareness of appropriate walk

Diagnosis methods for pancreatic cancer with the technique of deep learning: a review and a meta-analysis

Front Oncol. 2025 Aug 20;15:1597969. doi: 10.3389/fonc.2025.1597969. eCollection 2025.ABSTRACTBACKGROUND: Early diagnosis can significantly improve survival rate of Pancreatic ductal adenocarcinoma (PDAC), but due to the insidious and non-specific early symptoms, most patients are not suitable for s

Transformative Role of Artificial Intelligence in Drug Discovery and Translational Medicine: Innovations, Challenges, and Future Prospects

Drug Des Devel Ther. 2025 Aug 29;19:7493-7502. doi: 10.2147/DDDT.S538269. eCollection 2025.ABSTRACTINTRODUCTION: The use of Artificial intelligence in drug discovery is changing the field of Medicine across the world today positively. In this review, the role of AI in each focus area for the improve

TARGET-AI: a foundational approach for the targeted deployment of artificial intelligence electrocardiography in the electronic health record

medRxiv [Preprint]. 2025 Aug 28:2025.08.25.25334266. doi: 10.1101/2025.08.25.25334266.ABSTRACTBACKGROUND: Artificial intelligence (AI) applied to routine electrocardiograms (ECGs) offers promise for screening of structural heart disease (SHD), yet broad clinical integration remains limited by high f

GlycoEnzDB: A database of enzymes involved in human glycosylation

bioRxiv [Preprint]. 2025 Aug 31:2025.08.30.673257. doi: 10.1101/2025.08.30.673257.ABSTRACTThe glycan distribution on cells is governed by the stochastic activity of different families of enzymes that are together called "glycoEnzymes". These include ~400 gene products or 2% of the proteome, that hav

Diagnosing autism spectrum disorders using a double deep Q-Network framework based on social media footprints

Front Med (Lausanne). 2025 Aug 20;12:1646249. doi: 10.3389/fmed.2025.1646249. eCollection 2025.ABSTRACTINTRODUCTION: Social media is increasingly used in many contexts within the healthcare sector. The improved prevalence of Internet use via computers or mobile devices presents an opportunity for so

Large language models and the future of gastroenterology: dissecting the biopolitics of data in a global health ecosystem

No abstractFront Med (Lausanne). 2025 Aug 20;12:1668365. doi: 10.3389/fmed.2025.1668365. eCollection 2025.NO ABSTRACTPMID:40909449 | PMC:PMC12404928 | DOI:10.3389/fmed.2025.1668365

Clinical manifestations and outcomes of HSK following corneal transplantation

Front Med (Lausanne). 2025 Aug 20;12:1654643. doi: 10.3389/fmed.2025.1654643. eCollection 2025.ABSTRACTPURPOSE: To investigate the clinical manifestations and outcomes of herpes simplex keratitis (HSK) infection following corneal transplantation.METHODS: This retrospective study analyzed medical rec

A novel MRI-based deep learning-radiomics framework for evaluating cerebrospinal fluid signal in central nervous system infection

Front Med (Lausanne). 2025 Aug 20;12:1659653. doi: 10.3389/fmed.2025.1659653. eCollection 2025.ABSTRACTINTRODUCTION: Accurate and timely diagnosis of central nervous system infections (CNSIs) is critical, yet current gold-standard techniques like lumbar puncture (LP) remain invasive and prone to del

Programmed cell death-driven remodeling of the melanoma microenvironment enables prognostic stratification and therapeutic prediction

Front Immunol. 2025 Aug 20;16:1612217. doi: 10.3389/fimmu.2025.1612217. eCollection 2025.ABSTRACTBACKGROUND AND OBJECTIVE: Melanoma exhibits profound biological complexity, driven by immune evasion, phenotypic plasticity, and resistance to therapy. While programmed cell death (PCD) shapes tumor-immu

Analysis and validation of diagnostic biomarkers and immune cell infiltration characteristics in osteoarthritis by integrating bioinformatics and machine learning

Front Immunol. 2025 Aug 20;16:1596912. doi: 10.3389/fimmu.2025.1596912. eCollection 2025.ABSTRACTOBJECTIVE: Exosomes as important carriers of intercellular communication have frequently appeared in recent studies related to osteoarthritis (OA), while the specific mechanism of exosome action in osteo

Editorial: Use of big data and artificial intelligence in multiple sclerosis

No abstractFront Immunol. 2025 Aug 20;16:1679482. doi: 10.3389/fimmu.2025.1679482. eCollection 2025.NO ABSTRACTPMID:40909267 | PMC:PMC12404931 | DOI:10.3389/fimmu.2025.1679482

Identification of sepsis biomarkers through glutamine metabolism-mediated immune regulation: a comprehensive analysis employing mendelian randomization, multi-omics integration, and machine learning

Front Immunol. 2025 Aug 20;16:1640425. doi: 10.3389/fimmu.2025.1640425. eCollection 2025.ABSTRACTBACKGROUND: Sepsis is a global health challenge associated with high morbidity and mortality rates. Early diagnosis and treatment are challenging because of the limited understanding of its underlying me