A5069899922- Cancer Genomics and Diagnostics
- Mobile Ad Hoc Networks
- Malaria Research and Control
- Mosquito-borne diseases and control
- Cooperative Communication and Network Coding
- Single-cell and spatial transcriptomics
- Opportunistic and Delay-Tolerant Networks
- Bioinformatics and Genomic Networks
- Ultrasound Imaging and Elastography
- Radiomics and Machine Learning in Medical Imaging
- Neurofibromatosis and Schwannoma Cases
- Insect symbiosis and bacterial influences
- Indoor and Outdoor Localization Technologies
- Energy Harvesting in Wireless Networks
- Scientific Computing and Data Management
- Advanced Biosensing Techniques and Applications
- Genetics, Bioinformatics, and Biomedical Research
- Antenna Design and Optimization
- Wireless Networks and Protocols
- Energy Efficient Wireless Sensor Networks
- Optical Imaging and Spectroscopy Techniques
- Research Data Management Practices
- Digital Transformation in Industry
- Health, Environment, Cognitive Aging
- Parallel Computing and Optimization Techniques
Sage Bionetworks
2019-2025
Institute for Disease Modeling
2016-2021
Bellevue Hospital Center
2016-2021
Cornell University
2011-2017
Institute for Parallel Processing
2004-2008
Bulgarian Academy of Sciences
2005-2008
Biomedical research and clinical practice are in the midst of a transition toward significantly increased use artificial intelligence (AI) machine learning (ML) methods. These advances promise to enable qualitatively deeper insight into complex challenges formerly beyond reach analytic methods human intuition while placing demands on ethical explainable (XAI), given opaque nature many deep The U.S. National Institutes Health (NIH) has initiated significant development program, Bridge2AI,...
As more regions approach malaria elimination, understanding how different interventions interact to reduce transmission becomes critical. The Lake Kariba area of Southern Province, Zambia, is part a multi-country elimination effort and presents particular challenge as it an interconnected region variable intensities. In 2012–13, six rounds mass test-and-treat drug campaigns were carried out in the region. A spatial dynamical model area, with climate modeled at village scale, was calibrated...
Abstract Applying artificial intelligence (AI) and machine learning (ML) techniques to biomedical problems is predicated on access clean, high-quality data reusable software tools. Data tool repositories offer a vital infrastructure for centralizing, storing, sharing such resources with the global research community of cross-disciplinary scientists. The Cancer Complexity Knowledge Portal (CCKP) NIH-listed domain-specific repository that makes oncology findable accessible. CCKP developed...
Abstract In September 2018, the National Cancer Institute (NCI) launched first phase of Human Tumor Atlas Network (HTAN) under U.S. Moonshot program with goal generating three-dimensional molecular and spatial atlases diverse human tumors characterizing crucial transitions in cancer progression treatment. With over 30 assay types including sequencing, imaging, transcriptomics spanning 58 cancers across 21 organ types, HTAN has delivered a substantial resource to broader research community...
Energy efficient communication is a fundamental design problem in wireless networks significantly affecting network performance and the lifetime of sensor (WSNs). We introduce encoded sensing-an approach for collaborative encoding transmission sensors data-that drastically reduces energy expenditure WSN. Encoded sensing exploits inherent spatial structure sensed data to adaptively partition WSN into groups nodes, so that nodes each group sense highly correlated values. Each encodes all...
Vector control has been a key component in the fight against malaria for decades, and chemical insecticides are critical to success of vector programs worldwide. However, increasing resistance threatens undermine these efforts. Understanding evolution propagation is thus imperative mitigating loss intervention effectiveness. Additionally, accelerated research development new tools that can be deployed alongside existing strategies eradicating near future. Methods such as gene drives aim...
Given n source nodes and k relay nodes, we model the optimal topology problem allowing for simultaneous optimization of node locations traffic through network, so that overall number packet retransmissions is minimized. We argue state-of-the-art models algorithms placement in wireless networks do not reflect salient characteristics relays lead to suboptimal solutions. constrain position a finite set discrete points, as latter may be feasible practical networks. In this case, show just...
Broadcast is a fundamental operation in networks, especially reconfigurable wireless ad hoc networks. For example, some form of broadcasting used by all on-demand mobile networks routing protocols, when there uncertainty as to the location destination node, or for service discovery. In this work, we present new approach efficient broadcast with dynamic topologies, and introduce time sequence scheme (TSS), online local algorithm such networking environments. TSS ranks priority, distributed...
Malaria elimination will be challenging in countries that currently continue to bear high malaria burden. Sex-ratio-distorting gene drives, such as driving-Y, could play a role an integrated strategy if they can effectively suppress vector populations. Using spatially explicit, agent-based model of transmission eight provinces spanning the range intensities across Democratic Republic Congo, we predict impact and cost-effectiveness integrating driving-Y drive mosquitoes strategies include...
Application-aware routing exploits static knowledge of an application's traffic pattern to improve performance compared generalpurpose algorithms. Unfortunately, traditional approaches application-aware cannot efficiently handle dynamic changes in the limiting its usefulness practice. In this paper, we study under uncertainty. Our problem formulation allows application statically specify uncertainty set patterns that each occur with a given probability, and our goal is find single combined...
The Data Coordinating Center (DCC) of the Human Tumor Atlas Network (HTAN) has played a crucial role in enabling broad sharing and effective utilization HTAN data within scientific community. from first phase are now available publicly. We describe diverse datasets modalities shared, multiple access routes to assay metadata, standards, technical infrastructure governance approaches, as well our approach sustained community engagement. can be accessed via Portal, explored visualization...
In conventional ultrasound imaging systems the image quality (resolution and contrast) is degraded due to presence of speckle. The received echo signal a sum signals reflected by large number small scatterers randomly located within resolution cell. They cause constructive destructive phase interference at receiving array. Due speckle features (size, shape type atherosclerosis lesions) can often be difficult determine. One ways reduce noise multi-angle spatial compound (MACI). MACI system...
Broadcast is a fundamental operation in networks, especially wireless Mobile Ad Hoc NETworks (MANET). For example, some form of broadcasting used by all on-demand MANET routing protocols, when there uncertainty as to the location destination node, or for service discovery. Being such basic networking importance efficient has long been recognized community. Numerous papers proposed increasingly more implementation broadcasting, while other studies presented bounds on broadcast performance. In...
In this paper the effectiveness of two Data Association algorithms for Multiple Target Tracking (MTT) based on Global Nearest Neighbor approach are compared. As time assignment problem solution increases nonlinearly depending size, it is useful to divide whole scenario small groups targets called clusters. For each cluster solved by using-Munkres algorithm. Results reveal that computational especially large scenarios decreases significantly when clustering used.
Abstract Vector control has been a key component in the fight against malaria for decades, and chemical insecticides are critical to success of vector programs worldwide. However, increasing resistance threatens undermine these efforts. Understanding evolution propagation is thus imperative mitigating loss intervention effectiveness. Additionally, accelerated research development new tools that can be deployed alongside existing strategies eradicating near future. Methods such as gene drives...
One of the biggest problems in color reproduction processes is shifts occurring when images are viewed under different illuminants. Process ink colors and their combinations that match one light source will often appear another source. This problem referred to as balance failure or inconstancy. The main goals present study investigate determine (color inconstancy) offset printed expressed by difference gamut changes depending on three most commonly used practice illuminants, CIE D50, F2 A....
As defined by the NIH, Research software includes "source code files, algorithms, scripts, computational workflows, and executables that are created during research process or for a purpose."As an organization committed to open science, we understand importance of providing reproducible reusable code, tracking provenance data often linked executed code.Most build at Sage Bionetworks ("Sage") is accessible via our GitHub organization.What existing standards criteria do use evaluate openness,...
Abstract Experimental tools and resources, such as animal models, cell lines, antibodies, genetic reagents biobanks, are key ingredients in biomedical research. Investigators face multiple challenges when trying to understand the availability, applicability accessibility of these tools. A major challenge is keeping up with current information about numerous available for a particular research problem. variety disease-agnostic projects Mouse Genome Informatics database Resource Identification...
This paper describes a novel approach for collaboration in WSN that substantially reduces energy expenditure the network by exploiting spatial correlation among nodes. The idea behind scheme is whole range of measurements partitioned into individual intervals, with each interval assigned to unique subset Each node needs only determine whether its measured value falls within and transmit binary decision sink. base station, after gathering responses sufficiently large number nodes, calculates...