A5078284942- Single-cell and spatial transcriptomics
- Cell Image Analysis Techniques
- Cancer Genomics and Diagnostics
- Advanced Fluorescence Microscopy Techniques
- Advanced Biosensing Techniques and Applications
- Labor Market and Education
- Human Resources and Workforce
- 3D Printing in Biomedical Research
- Cutaneous Melanoma Detection and Management
- Impulse Buying and Technology Impacts
- Image Processing Techniques and Applications
- AI in cancer detection
- Neural Networks and Applications
Harvard University
2021-2025
Center for Cancer Research
2023-2024
Center for Systems Biology
2021-2022
Stanford Medicine
2020
Abstract Upcoming technologies enable routine collection of highly multiplexed (20–60 channel), subcellular resolution images mammalian tissues for research and diagnosis. Extracting single cell data from such requires accurate image segmentation, a challenging problem commonly tackled with deep learning. In this paper, we report two findings that substantially improve segmentation using range machine learning architectures. First, unexpectedly find the inclusion intentionally defocused...
Abstract Cutaneous melanoma develops from precursor cells that progress to in situ (MIS) and eventually invasive disease. In metastatic tumors, switch a melanocytic an undifferentiated, neural crest (NC)-like state, which is associated with metastasis therapeutic resistance. However, it unclear whether these cell states or gene expression changes occur at the premetastatic stage if they are features of local tumor microenvironment (TME). We analyzed cohort 62 patients primary cutaneous...
Abstract Tumors are complex assemblies of cellular and acellular structures patterned on spatial scales from microns to centimeters. Study these has advanced dramatically with the introduction high-plex profiling. Image-based profiling methods reveal intensities distributions 20–100 proteins at subcellular resolution in 10 3 –10 7 cells per specimen. Despite extensive work for extracting single-cell data images, all tissue images contain artifacts such as folds, debris, antibody aggregates,...
Tumors are complex assemblies of cellular and acellular structures patterned on spatial scales from microns to centimeters. Study these has advanced dramatically with the introduction high-plex profiling. Image-based profiling methods reveal intensities distributions 20-100 proteins at subcellular resolution in 10
ABSTRACT Newly developed technologies have made it feasible to routinely collect highly multiplexed (20-60 channel) images at subcellular resolution from human tissues for research and diagnostic purposes. Extracting single cell data such requires efficient accurate image segmentation, a challenging problem that has recently benefited the use of deep learning. In this paper, we demonstrate two approaches improving tissue segmentation are applicable multiple learning frameworks. The first...
Abstract Newly developed technologies have made it feasible to routinely collect highly multiplexed (20-60 channel) images at subcellular resolution from human tissues for research and diagnostic purposes. Extracting single cell data such requires efficient accurate image segmentation. This starts with identification of nuclei, a challenging problem in tissue imaging that has recently benefited the use deep learning. In this paper, we demonstrate two generally applicable approaches improving...
Abstract Primary cutaneous melanomas develop in stages from melanoma precursor cells that may progress to situ (MIS) and eventually invasive disease. Molecular changes, such as tumor cell state switches melanocytic undifferentiated neural-crest-like phenotypes, have been associated with the development of metastases therapeutic resistance. However, it is unknown whether states or gene expression changes enriched advanced tumors exist at premalignant stage if they can elicit...
В данной статье обозначены возможности и угрозы, возникающие при принятии решений, основанных на использовании больших данных. Актуальность исследования обусловлена ростом тренда использование нейросетей для прогнозирования принятия управленческих решений в экономическом сообществе. Однако, всех кажущихся преимуществах этого подхода, не стоит забывать, что нейросеть большие данные — это всего лишь методы повышения экономической эффективности, которые, как любые предпринимательские...
Целью написания статьи является выявить особенности управления персоналом в современной цифровой организации. Основной задачей было найти новые методы, тенденции и тренды времени, которые так же необходимо учитывать. Современное общество переживает глобальные изменения стиле организации работы персонала, изменились подходы как найма сотрудников, оценки значимости каждого сотрудника компании, применимость навыков, подход к обучению удержанию сотрудников. Происходит переосмысление роли...