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1281
Optimizing a modified cetyltrimethylammonium bromide protocol for fungal DNA extraction: Insights from multilocus gene amplification
Published 2025-02-01“…Genomic DNA (gDNA) extraction is an important step in many molecular studies of fungal biology, and it is necessary to evaluate the efficiency, cost-effectiveness, and efficacy of different extraction methods to ensure successful amplification of the target gene and minimize deoxyribonucleic acid (DNA) degradation. …”
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1282
From Bench to Brain: A Metadata-driven Approach to Research Data Management in a Collaborative Neuroscientific Research Center
Published 2025-01-01“…The practice paper outlines the approach of the interdisciplinary Collaborative Research Center (CRC) 1280 ‘Extinction Learning’ with 81 researchers from biology, psychology, medicine, and computational neuroscience across four different institutions. …”
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1283
Determination of damaging SNP’s in SHANK3 gene with in silico methods
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1284
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1285
A quantitative spatial cell-cell colocalizations framework enabling comparisons between in vitro assembloids and pathological specimens
Published 2025-02-01“…We propose a quantitative framework that catalogs significant, normalized, colocalizations between pairs of cell subpopulations, enabling comparisons among a variety of biological samples. We perform cell-pair colocalization analysis on multiplexed immunofluorescence images of assembloids constructed with lung adenocarcinoma (LUAD) organoids and cancer-associated fibroblasts derived from human tumors. …”
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1286
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1287
Continuum and Soft Robots in Minimally Invasive Surgery: A Systematic Review
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1288
Understanding integrative approach of translational bioinformatics on cardiovascular disease: Myocardial Ischemia
Published 2024-12-01“…Additionally, it examines the application of systems biology and network analysis to understand biological networks, and the use of clinical decision support systems to enhance patient care. …”
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1289
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1290
Small open reading frames (sORFs): Driving big improvements in plant development and quality
Published 2025-03-01“…In summary, understanding and harnessing the potential of sORFs is a cutting-edge area of research that is poised to revolutionize the future of plant biology and agriculture, and ongoing exploration of their functions and mechanisms is anticipated to yield groundbreaking discoveries and practical applications in the future.…”
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1291
Modulating the developing gut microbiota with 2’-fucosyllactose and pooled human milk oligosaccharides
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1292
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1293
Assessment of post-harvest fish losses at the fishers’ level in Lake Tana, Ethiopia
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1294
Evaluating the risk of bacterial infections associated with the most handled Iraqi notes in Kalar
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1296
Influence of MHC on genetic diversity and testicular expression of linked olfactory receptor genes
Published 2025-02-01“…The use of combined haplotype information for MHC and linked ORs could provide new insights into the reproductive biology of animals.…”
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1297
Deep empirical neural network for optical phase retrieval over a scattering medium
Published 2025-02-01“…The DENN might shed new light on the applications of deep learning in physics, information science, biology, chemistry and beyond.…”
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1298
Digital twins as global learning health and disease models for preventive and personalized medicine
Published 2025-02-01“…However, widespread implementation faces several challenges: (1) characterizing dynamic molecular changes across multiple biological scales; (2) developing computational methods to integrate data into DTs; (3) prioritizing disease mechanisms and therapeutic targets; (4) creating interoperable DT systems that can learn from each other; (5) designing user-friendly interfaces for patients and clinicians; (6) scaling DT technology globally for equitable healthcare access; (7) addressing ethical, regulatory, and financial considerations. …”
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Development of an mPBPK machine learning framework for early target pharmacology assessment of biotherapeutics
Published 2025-02-01“…By unraveling new design rules for antibody drug properties that are dependent on ML-based TO assessment, we deliver a first-in-class ML-based target pharmacology assessment framework toward better understanding of the biology-specific PK and ADME processes of antibody drug candidate proteins and reduce the overall time for drug development.…”
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