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Global Research Nexus
Connecting Bioinfotika to the frontier of science. Real-time intelligence from Nature, Science, and Oxford Journals—curated automatically for the next generation of researchers.
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Machine Learning‐Enhanced Generic Raman Model for Commercial‐Scale Cell Culture Process Monitoring
Source: NEW UPDATE Date: 2026-09-21 By Yunfei Shen, Yuxiang Wan, Sijun Wu, Xu Yan, Hang Chen, Zhenhua Chen, Haibin Wang, Haibin Qu
- Preoperative ECG-based machine learning model for early prediction and risk stratification of postoperative delirium
- Prediction of tracheal intubation in patients with Pierre Robin sequence: development of a machine learning-based model
- Towards molecular-based functional classification of fetal bovine serum
- Multidimensional immune subtyping reveals clinicogenetic molecular functional and pharmacologic heterogeneity in acute myeloid leukemia
- Author Correction: Integrating artificial intelligence tools in health research
- Altered expression of AMPK ULK1 PINK1 Parkin mitophagy-related genes and clinicopathological correlates in renal tissue from patients with diabetic nephropathy
- A longitudinal Health Atlas of age-associated multisystem physiology from population health examinations in China
- A comparative study of vision transformer architectures evaluating MYC status prediction in diffuse large B cell lymphoma
- Benchmarking large vision language models for multilingual image caption generation in low resource settings
- SVPG: a pangenome-based structural variant detection approach and rapid augmentation of pangenome graphs with new samples
- An empirical privacy risk assessment method for machine learning models towards GDPR’s “Data protection by design and by default” requirement
- RamanOmics decodes the spatial vibrational–molecular architecture of senescence in aging and repair
- A synergistic triple superior vortex human memory driven algorithm for head and neck cancer biomarker discovery
- Single cell eQTL Mendelian randomization prioritizes FUBP1 as a candidate therapeutic target in T cells for lung cancer
- AI co-scientists are revolutionizing how research is done
- Physician involvement and research quality in chest X-ray foundation models
- Complement C3a receptor expression is associated with distinct immune microenvironmental profiles in clear cell renal cell carcinoma
- Optimizing CRISPR–Cas9-mediated TCR knockout in primary mouse CD8+, CD4+, and regulatory T cells
- A course recommendation method based on bidirectional fusion of graph convolution using knowledge graphs
- Comparative genomics of Actinomyces identifies an MRONJ-associated lineage characterized by variation in mfd
- Leakage-aware hybrid tabular deep learning with target-provenance auditing for calorie-expenditure prediction and constrained exercise food recommendation
- Prototype-based explainable deep learning for sex classification of Mountain Gazelles in the wild
- Quokka swarm defensive optimization-based ensemble deep learning for disease prediction using remote monitoring data
- Integrated multi-omics analyses reveal the role of PAXX in colorectal cancer progression and the tumor immune microenvironment
- Missing data imputation for wearable time series
- Predicting measles outbreak magnitude via modeled population susceptibility evidence from pre-vaccination data
- Retrieval-augmented multi-agent framework for evidence-centric medical reasoning
- An enhanced hierarchical Mamba-based cardiac segmentation network for cardiovascular analysis and disease diagnosis using multiple MRI datasets
- Thermodynamic–molecular interdependencies and causal determinants governing pharmaceutical solubility in SC-CO2 systems
- Scalable molecular representations enabled by multimodal fusion and sequence distillation
- Twelve quick tips for designing AI-driven HPC workflows
- Response to comment on “Using genomic data and machine learning to predict antibiotic resistance: A tutorial paper”
- Integrative AI-assisted modeling suggests CPPF binding at a composite α/β-tubulin interface pocket dominated by β-tubulin contacts
- Domain classification of archaeal proteomes reveals conserved fold repertoire
- Balanced contractility and adhesion drive polarization in a minimal elastic actomyosin network
- Data-driven modeling of spatiotemporal dynamics using multimodal imaging data
- Evolutionary rescue model informs strategies for driving cancer cell populations to extinction
- Direct microhaplotype genotyping for GT-seq (Genotyping-in-Thousands by Sequencing) using a diploid abundance model
- Learning chemical-induced gene expression perturbations with WAVE
- Per- and polyfluoroalkyl substances and kidney disease: Genetic associations and computational prioritization of candidate toxicogenomic pathways
- Monte Carlo modeling of the formation and organization of ion channel clustering
- When models choose metrics: Hidden geometry in computational biology
- Machine learning–driven decoding of maternal immune signatures in repeated pregnancy loss
- SmartHisto: Bayesian active learning for histology images
- PanDelos-plus: A parallel algorithm for computing sequence homology in pangenomic analysis
- 2026 Metagenomics SMRT Grant Awardees
- Gene editing using large insertions
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Differences of 3D and Mixed 2D and 3D Culture in the Generation of Human iPSC‐Derived Hepatocytes
Source: NEW UPDATE Date: 2026-09-16 By Cibele Ferreira Pimentel, Rafael Campos da Silva Menezes, Victor Hoff, Lucas Pires Guarnier, Giulia Roldão Barbosa Freire, Turan Peter Urmenyi, Lanuza Allaby Pinheiro Faccioli, Karina Dutra Asensi, Regina Coeli dos Santos Goldenberg, Marlon Lemos Dias
- A practical risk framework for large language model use in life science research
