Results 311 to 320 of about 907,938 (379)

Nanoplasmonic Infrared Microarray Sensor Enabling Structural Protein Biomarker-Based Drug Screening for Neurodegenerative Diseases. [PDF]

Adv Sci (Weinh)
Kavungal D, Morro E, Kumar ST, Dagli B, Lashuel HA, Altug H.   +5 more
europepmc   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

Acute Changes in Rat Tissue Gene Expression Following Exposure to Flight Relevant Hypobaria. [PDF]

Sci Data
Borcar A, Tchantchou F, Shetty AC, Mahurkar A, Fiskum G.   +4 more
europepmc   +1 more source

Recent Advancements in Topic Modeling Techniques for Healthcare, Bioinformatics, and Other Potential Applications

Advanced Intelligent Systems, EarlyView.
This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari, Sachin Kadian, Mukund Vora, Pradyumna Vemuri, Sumit Kumar, Om Prakash Verma, Roger J. Narayan   +6 more
wiley   +1 more source

Midwives 'views of parents' questions and expectations on prenatal genetic testing - identifying informational needs in prenatal genetic counselling. [PDF]

J Community Genet
Åkerman L, Soller MJ, Malmgren CI.
europepmc   +1 more source

RPSLearner: A Novel Approach Based on Random Projection and Deep Stacking Learning for Categorizing Non‐Small Cell Lung Cancer

Advanced Intelligent Systems, EarlyView.
Identifying non‐small cell lung cancer (NSCLC) subtypes is essential for precision cancer treatment. Conventional methods are laborious, or time‐consuming. To address these concerns, RPSLearner is proposed, which combines random projection and stacking ensemble learning for accurate NSCLC subtyping. RPSLearner outperforms state‐of‐the‐art approaches in
Xinchao Wu, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Evaluating the effect of the mitochondrial alternative peptide MTALTND4 on gene expression. [PDF]

Biochem Biophys Rep
Nadeau-Lachance L, Choquette T, Hosseini Khorami H, Angers A, Breton S.   +4 more
europepmc   +1 more source

Clinically Irrelevant Terminal 16q21 Deletion Detected by NIPT Is Attributable to Inherited Fragility at FRA16B

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Genome‐wide non‐invasive prenatal testing (NIPT) is a powerful tool for prenatal detection of the common aneuploidies causing Down‐, Edwards‐, and Patau syndrome. Its genome‐wide reach also enables the detection of unbalanced structural chromosomal abnormalities.
Servi J. C. Stevens, Wanwisa van Dijk, Nicole Y. Souren, Merryn V. E. Macville, Guillaume van de Zande, Brigitte H. W. Faas, Bart de Koning, Arthur van den Wijngaard, Sonja de Munnik, Masoud Zamani Esteki   +9 more
wiley   +1 more source

Correction: eIF4E S209 phosphorylation licenses myc- and stress-driven oncogenesis.

Elife
Ruan H, Li X, Xu X, Leibowitz BJ, Tong J, Chen L, Ao L, Xing W, Luo J, Yu Y, Schoen RE, Sonenberg N, Lu X, Zhang L, Yu J.   +14 more
europepmc   +1 more source

A Collaborative Approach to Pediatric Genetic Evaluation in the Era of Genomic Medicine

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT To address the increased demand for genetic services and shortage of medical geneticists (MG), a collaborative pilot program was developed with a two‐part approach to care: (1) Initial genetic counselor (GC) appointment with exome sequencing (ES) and (2) follow‐up MG evaluation.
Sarah Jurgensmeyer Langas, Allison Goetsch Weisman, Valerie Allegretti, Katherine Kim, Roxanne Birriel, Carlos E. Prada   +5 more
wiley   +1 more source