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NYU Dataset
CpG Oligodeoxynucleotides Improves Alzheimer’s Disease Pathology in Aged Squirrel Monkeys
- Authors
- Akash G. PatelPramod N. NeheteSara R. KrivoshikXuewei Pei7 more author(s)...
- Description
Previous studies showed that harnessing innate immunity via CpG oligodeoxynucleotides (ODNs) modulates age-related defects. This study used elderly female squirrel monkeys as model of sporadic Alzheimer’s disease pathology. Current immunotherapeutic trials for Alzheimer’s disease have amyloid-related imaging flaws, which are linked to the presence of cerebral amyloid angiopathy (CAA). Therefore, the...
- Subject
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Neurosciences
- Access Rights
- Application RequiredAuthor Approval Required
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NYU Dataset
Development of Long-Term Vagus Nerve Stimulation in Mouse Model
- Authors
- Ibrahim T. MughrabiJordan HickmanNaveen JayaprakashDane Thompson13 more author(s)...
- Description
This study developed a scalable model for long-term vagus nerve stimulation (VNS) in mice. Male C57BL/6 mice were instrumented with implanted ECG electrodes to measure heart rate threshold in conscious animals. In awake experiments, animals implanted with ECG leads were gently restrained and connected to a commutator that interfaced with the stimulus generator and the bio-amplifier. The dataset includes...
- Subject
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Neurosciences
- Access Rights
- Free to All
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NYU Dataset
Neural Circuitry for Maternal Oxytocin Release Induced by Infant Cries
- Authors
- Silvana ValtchevaHabon A. IssaChloe J. Bair-MarshallKathleen A. Martin4 more author(s)...
- Description
Oxytocin is a neuropeptide released in the central nervous system, which is involved in a wide range of behaviors including reproduction, parental care, and pair bonding. In addition, peripheral oxytocin is important for milk ejection during nursing and uterine contractions during labor. Oxytocin is produced mainly in the paraventricular nucleus (PVN) and supraoptic nucleus of the hypothalamus. This...
- Subject
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Neurosciences
- Access Rights
- Free to All
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NYU Dataset
Mapping the Landscape of Histomorphological Cancer Phenotypes Using Self-Supervised Learning on Unannotated Pathology Slides
- Authors
- Adalberto Claudio QuirosNicolas CoudrayAnna H. YeatonXinyu Yang12 more author(s)...
- Description
Histomorphological Phenotype Learning (HPL) was developed as a self-supervised methodology to discriminatory features in microscopy images to aid in cancer diagnosis and management. The methodology partitions whole slide images (WSIs) into meaningful Histomorphological Phenotype Clusters (HPCs) that can be used to define and quantify morphological phenotypes which recur within and between cases. HPL...
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CancerChronic Disease
- Access Rights
- Free to AllAuthor Approval Required