Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Life Sciences (4102)
- Medicine and Health Sciences (4101)
- Social and Behavioral Sciences (2129)
- Physical Sciences and Mathematics (2095)
- Medical Sciences (1264)
-
- Education (1212)
- Arts and Humanities (1189)
- Medical Specialties (1114)
- Engineering (921)
- Plant Sciences (885)
- Biology (794)
- Earth Sciences (775)
- Psychology (772)
- Plant Biology (640)
- Agronomy and Crop Sciences (636)
- Agricultural Science (631)
- Soil Science (609)
- Law (595)
- Weed Science (590)
- Plant Pathology (587)
- Public Health (530)
- Environmental Sciences (435)
- Ecology and Evolutionary Biology (431)
- Animal Sciences (398)
- Chemistry (377)
- Oncology (335)
- Higher Education (328)
- Diseases (318)
- Sociology (310)
- Biochemistry, Biophysics, and Structural Biology (308)
- Institution
-
- The Texas Medical Center Library (863)
- University of Kentucky (816)
- University of Texas at Arlington (442)
- Liberty University (413)
- Arkansas State University (317)
-
- Thomas Jefferson University (310)
- TÜBİTAK (286)
- Old Dominion University (266)
- Technical Disclosure Commons (263)
- Walden University (247)
- Universitas Indonesia (245)
- University of Technology (243)
- University of Montana (240)
- Nova Southeastern University (234)
- University of Texas Rio Grande Valley (222)
- University of Arkansas, Fayetteville (214)
- University of Plymouth (214)
- Utah State University (212)
- Journal of Dental Sciences (211)
- University of Al-Qadisiyah (207)
- Edith Cowan University (202)
- Washington University School of Medicine (196)
- University of Central Florida (179)
- University of South Carolina (179)
- Universitas Padjadjaran (174)
- Design Research Society (168)
- City University of New York (CUNY) (161)
- Brigham Young University (155)
- University of Baghdad (155)
- Duquesne University (149)
- Keyword
-
- Humans (836)
- Female (488)
- Male (438)
- Animals (341)
- Mice (225)
-
- Middle Aged (214)
- Adult (182)
- Aged (161)
- ICTS (Institute of Clinical and Translational Sciences) (154)
- Biomarkers (118)
- Biology (115)
- Artificial intelligence (114)
- Child (111)
- Machine learning (106)
- Engineering (100)
- Adolescent (93)
- Mental health (87)
- Climate change (85)
- Inflammation (85)
- Education (84)
- Depression (74)
- Cancer (71)
- United States (70)
- Tumor (68)
- Anxiety (65)
- Science (64)
- Stress (64)
- Young Adult (63)
- Obesity (62)
- Signal Transduction (62)
- Publication
-
- IGC Proceedings (1977-2023) (571)
- Theses and Dissertations (378)
- Faculty, Staff and Student Publications (369)
- Faculty, Staff and Students Publications (350)
- The Shorthorn Newspaper Collection: 1980s (286)
-
- All Approved Curriculum (270)
- Doctoral Dissertations and Projects (265)
- Defensive Publications Series (263)
- Engineering and Technology Journal (243)
- Walden Dissertations and Doctoral Studies (226)
- Al-Qadisiyah Medical Journal (207)
- Honors Theses (195)
- 2020-Current year OA Pubs (190)
- Research outputs 2022 to 2026 (190)
- Electronic Theses and Dissertations (187)
- DRS Biennial Conference Series (156)
- Journal of Dental Sciences (152)
- Baghdad Science Journal (140)
- Undergraduate Student Symposium (139)
- Jurnal Ilmu Ternak Universitas Padjadjaran (137)
- Food and Machinery (136)
- Creative Nonfiction Magazine (126)
- Faculty Publications (125)
- Dissertations (118)
- Theses (108)
- Masters Theses (102)
- Master's Theses (101)
- Manuscripts, Articles, Book Chapters and Other Papers (93)
- All Graduate Theses and Dissertations, Fall 2023 to Present (89)
- Liberty University Research Week (86)
- Publication Type
Articles 18571 - 18576 of 18576
Full-Text Articles in Entire DC Network
Application Of Machine Learning To Blood-Based Biomarkers Of Alzheimer's Disease In Down Syndrome, Patrick H Luckett, Melissa Petersen, Sid O'Bryant, Mark Mapstone, Brad T Christian, Benjamin Handen, Elizabeth Head, Beau M Ances, Alzheimer's Biomarker Consortium‐Down Syndrome
Application Of Machine Learning To Blood-Based Biomarkers Of Alzheimer's Disease In Down Syndrome, Patrick H Luckett, Melissa Petersen, Sid O'Bryant, Mark Mapstone, Brad T Christian, Benjamin Handen, Elizabeth Head, Beau M Ances, Alzheimer's Biomarker Consortium‐Down Syndrome
2020-Current year OA Pubs
INTRODUCTION: Blood-based biomarkers can improve Alzheimer's disease (AD) characterization in Down syndrome (DS). This study applied hierarchical clustering and machine learning-based feature selection to identify biomarkers associated with disease progression.
METHODS: Cross-sectional blood-based biomarkers were analyzed from 211 DS participants (
RESULTS: The strongest predictors overall were neurofilament light chain (NfL), tau/amyloid beta (Aβ)40, Aβ42/Aβ40, alpha-2-macroglobulin (A2M), and interleukin (IL)-10. Within the CS group, NfL, tau/Aβ40, A2M, and IL-10 were strong predictors. In MCI, Aβ42/Aβ40, NfL, A2M, and IL-10 were strong predictors. In DS-AD, Aβ42/Aβ40, NfL, and tau/Aβ40 were the top predictors. Cluster membership varied based on disease stage.
DISCUSSION: …
Perception Of Dementia Risk Among Black Adults: An Ecological Analysis Of Causal Loop Diagrams With A Structural And Social Determinant Of Health Composite Index, Jean-Francois Trani, Ramkrishna K Singh, Alexis Ib Walker, Semere Bekena, Yiqi Zhu, Ganesh M Babulal, Robbie Hart
Perception Of Dementia Risk Among Black Adults: An Ecological Analysis Of Causal Loop Diagrams With A Structural And Social Determinant Of Health Composite Index, Jean-Francois Trani, Ramkrishna K Singh, Alexis Ib Walker, Semere Bekena, Yiqi Zhu, Ganesh M Babulal, Robbie Hart
2020-Current year OA Pubs
INTRODUCTION: To investigate drivers of dementia risk disparities among older Black Americans using a community-based system dynamics (CBSD) approach.
METHODS: Over 18 months, 234 participants created 36 causal loop diagrams (CLDs) on dementia risk. An ecological analysis compared structural differences across groups based on scores on a structural and social determinants of health composite index (S/SDOH-CI).
RESULTS: Groups in the highest SDOH-CI quantile were more likely to identify key protective pathways linking mental health, substance use, exercise, medication, and community support to reduce dementia risk. In contrast, fewer than 25% of low-SDOH-CI groups identified these connections, and under 15% recognized …
Alzheimer's Disease Stage 1 And 2: Biology, Diagnostics, And Treatment, Suzanne E. Schindler, Sarah M. Hartz, Et Al.
Alzheimer's Disease Stage 1 And 2: Biology, Diagnostics, And Treatment, Suzanne E. Schindler, Sarah M. Hartz, Et Al.
2020-Current year OA Pubs
No abstract provided.
Criterion And Convergent Validity Of Plasma Biomarkers In Early-Onset Alzheimer's Disease: Initial Findings From Leads, Dustin B Hammers, Kyle Womack, Erik Musiek, Et Al.
Criterion And Convergent Validity Of Plasma Biomarkers In Early-Onset Alzheimer's Disease: Initial Findings From Leads, Dustin B Hammers, Kyle Womack, Erik Musiek, Et Al.
2020-Current year OA Pubs
No abstract provided.
Rationale And Trial Design Of Ribolaris: A Phase Ii Trial Of Neoadjuvant And Adjuvant Ribociclib Plus Endocrine Therapy For Clinically High-Risk Hr+/Her2-Negative Breast Cancer, Paul Cottu, Cynthia X Ma, Et Al.
Rationale And Trial Design Of Ribolaris: A Phase Ii Trial Of Neoadjuvant And Adjuvant Ribociclib Plus Endocrine Therapy For Clinically High-Risk Hr+/Her2-Negative Breast Cancer, Paul Cottu, Cynthia X Ma, Et Al.
2020-Current year OA Pubs
BACKGROUND: Despite advances in endocrine therapy, patients with hormone receptor-positive (HR+)/human epidermal growth factor receptor 2-negative (HER2-) early breast cancer (eBC) remain at risk of recurrence (ROR). Chemotherapy is often used in high-risk cases, but not all patients benefit.
OBJECTIVES: To evaluate whether chemotherapy can be safely omitted in patients with stage II, grade 2/3 HR+/HER2- eBC who convert to low genomic risk (ROR-low) following neoadjuvant ribociclib plus letrozole.
METHODS: RIBOLARIS (NCT05296746) is an open-label, multicenter phase II trial in patients with stage II, grade 2 or 3, HR+/HER2- eBC defined as high risk based on a Ki-67 index ⩾20% …
Establishing Demographic-Based Normative Values For Neurofilament Light Chain And Glial Fibrillary Acidic Protein In Serum And Plasma Samples, Tyler L Borko, Salim Chahin, Et Al.
Establishing Demographic-Based Normative Values For Neurofilament Light Chain And Glial Fibrillary Acidic Protein In Serum And Plasma Samples, Tyler L Borko, Salim Chahin, Et Al.
2020-Current year OA Pubs
BACKGROUND: Interpretation of neurofilament light chain (NfL) and glial fibrillary acidic protein (GFAP) levels in blood requires reference ranges from healthy cohorts, accounting for demographic features.
OBJECTIVE: To compare serum and plasma NfL and GFAP in healthy individuals, accounting for age, sex, and body mass index (BMI).
METHODS: Adolescents through older adults were recruited at Colorado community events and a senior clinic. A neurologist reviewed self-reported medical histories. Paired serum and EDTA plasma samples were assayed using the Quanterix SR-X Simoa Neuro 4-Plex. Log-linear models estimated percent change per year of age, per BMI unit, and sex ratios. GFAP used …