Results 81 to 90 of about 2,291,111 (185)

Germline pathogenic variation impacts somatic alterations and patient outcomes in pediatric central nervous system tumors

Nature Communications
The contribution of rare pathogenic/likely pathogenic (P/LP) germline variants to pediatric central nervous system (CNS) tumor development remains understudied. Here, we characterize the prevalence and biological significance of germline P/LP variants in
Ryan J. Corbett, Rebecca S. Kaufman, Shelly W. McQuaid, Zalman Vaksman, Saksham Phul, Miguel A. Brown, Jennifer L. Mason, Sebastian M. Waszak, Bo Zhang, Chuwei Zhong, Emily Blauel, Heena Desai, Ryan Hausler, Ammar S. Naqvi, Jessica M. Daggett, Alex Sickler, Evan C. Cresswell-Clay, Patricia J. Sullivan, Antonia Chroni, Zhuangzhuang Geng, Elizabeth M. Gonzalez, Yuankun Zhu, Allison P. Heath, Marilyn Li, Phillip B. Storm, Adam C. Resnick, Kara N. Maxwell, Kristina A. Cole, Angela J. Waanders, Miriam Bornhorst, Suzanne P. MacFarland, Jo Lynne Rokita, Sharon J. Diskin   +32 more
doaj   +1 more source

Data-Driven Certificate Synthesis

18 pages, submitted to ...
Rickard, L, Abate, A, Margellos, KN
openaire   +3 more sources

Exploring GPCR signaling pathway networks as cancer therapeutic targets

Cell Genomics
GPCR signaling can contribute to establishing the tumor microenvironment and influence the progression and metabolism of tumors. Arora et al.1 describe a systems-level approach to investigate the patterns of co-expression of GPCR signaling pathway ...
Balaji Santhanam, Madison Sluter, M. Madan Babu   +2 more
doaj   +1 more source

Role of repulsive guidance signaling and GPR180 in pediatric low-grade glioma infiltration

npj Precision Oncology
Pediatric low-grade gliomas (pLGGs) are the most common brain tumors in children with varying degrees of infiltration. Despite having a positive prognosis, if the standard treatment, gross total resection, is impossible due to tumor location or ...
Geena Jung, Zizhuo Liang, Payal Jain, Hannah M. Deutsch, Feng Li, Komal S. Rathi, Zhichuan Sun, Xin Chen, Joshua Straka, Anahita Fathi Kazerooni, Yuqi Sun, Mateusz P. Koptyra, Stephanie Sanchez-Maldonado, Ariana Familiar, Angela J. Waanders, Ali Nabavizadeh, Xi Huang, Adam C. Resnick, Yuanquan Song   +18 more
doaj   +1 more source

Emerging applications of NLP and large language models in gastroenterology and hepatology: a systematic review

Frontiers in Medicine
Background and aimIn the last years, natural language processing (NLP) has transformed significantly with the introduction of large language models (LLM).
Mahmud Omar, Mahmud Omar, Salih Nassar, Kassem SharIf, Benjamin S. Glicksberg, Girish N. Nadkarni, Eyal Klang   +6 more
doaj   +1 more source

Visual-textual integration in LLMs for medical diagnosis: A preliminary quantitative analysis

Computational and Structural Biotechnology Journal
Background and aim: Visual data from images is essential for many medical diagnoses. This study evaluates the performance of multimodal Large Language Models (LLMs) in integrating textual and visual information for diagnostic purposes. Methods: We tested
Reem Agbareia, Mahmud Omar, Shelly Soffer, Benjamin S. Glicksberg, Girish N. Nadkarni, Eyal Klang   +5 more
doaj   +1 more source

Correction: Inequalities in population health loss by multiple deprivation: COVID-19 and pre-pandemic all-cause disability-adjusted life years (DALYs) in Scotland

International Journal for Equity in Health, 2022
Grant M. A. Wyper, Eilidh Fletcher, Ian Grant, Oliver Harding, Maria Teresa de Haro Moro, Diane L. Stockton, Gerry McCartney   +6 more
doaj   +1 more source

From concrete mixture to structural design—a holistic optimization procedure in the presence of uncertainties

Data-Centric Engineering
We propose a systematic design approach for the precast concrete industry to promote sustainable construction practices. By employing a holistic optimization procedure, we combine the concrete mixture design and structural simulations in a joint, forward
Atul Agrawal, Erik Tamsen, Jörg F. Unger, Phaedon-Stelios Koutsourelakis   +3 more
doaj   +1 more source

Data-Driven Chinese Walls

, 2018
Security policy and access control models are often based on qualitative attributes, e.g. security labels, cryptographic credentials. In this paper, we enrich one such model, namely the Chinese Walls model, with quantitative attributes derived from data. Therefore, we advocate a data-driven approach that considers a quantitative definition of access we
Akkuzu, Gulsum, Aziz, Benjamin
openaire   +3 more sources

Data-driven appointment scheduling [PDF]

, 2019
Fiems, Dieter
core   +1 more source