A5085676104- Advanced Radiotherapy Techniques
- Radiation Therapy and Dosimetry
- Medical Imaging Techniques and Applications
- Cancer Genomics and Diagnostics
- Bioinformatics and Genomic Networks
- Radiomics and Machine Learning in Medical Imaging
- Computational Drug Discovery Methods
- Advanced Multi-Objective Optimization Algorithms
- Radiation Dose and Imaging
- Gene expression and cancer classification
- Lung Cancer Diagnosis and Treatment
- Advanced X-ray and CT Imaging
- Bacillus and Francisella bacterial research
- Microbial Metabolic Engineering and Bioproduction
- Advances in Oncology and Radiotherapy
- Radiation Detection and Scintillator Technologies
- Alzheimer's disease research and treatments
- Viral Infections and Outbreaks Research
- Prostate Cancer Diagnosis and Treatment
- Robotic Path Planning Algorithms
- Mathematical Biology Tumor Growth
- Manufacturing Process and Optimization
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- Chromosomal and Genetic Variations
Northeastern University
2025
Massachusetts General Hospital
2013-2023
Broad Institute
2020-2023
Harvard University
2013-2023
Pennsylvania State University
2020-2021
Harvard University Press
2019
United States Food and Drug Administration
2007-2016
Shanghai Jiao Tong University
2015
Mass General Brigham
2013
IIT@MIT
2011-2012
In the event of a smallpox bioterrorist attack in large U.S. city, interim response policy is to isolate symptomatic cases, trace and vaccinate their contacts, quarantine febrile but more broadly if outbreak cannot be contained by these measures. We embed this traced vaccination disease transmission model estimate number cases deaths that would result from an urban area. Comparing results mass moment recognized, we find both far fewer much faster epidemic eradication over wide range...
We developed a mathematical model to compare various emergency responses in the event of an airborne anthrax attack. The system consists atmospheric dispersion model, age-dependent dose-response disease progression and set spatially distributed two-stage queueing systems consisting antibiotic distribution hospital care. Our results underscore need for extremely aggressive timely use oral antibiotics by all asymptomatics exposure region, either preattack or nonprofessionals postattack,...
Radiotherapy planning involves inherent tradeoffs: the primary mission, to treat tumor with a high, uniform dose, is in conflict normal tissue sparing. We seek understand these tradeoffs on case-to-case basis, by computing for each patient database of Pareto optimal plans. A treatment plan if there does not exist another which better every measurable dimension. The set all such plans called surface. This article presents an algorithm well distributed points (convex) surface multiobjective...
We present a method to include robustness in multi-criteria optimization (MCO) framework for intensity-modulated proton therapy (IMPT). The approach allows one simultaneously explore the trade-off between different objectives as well and nominal plan quality. In MCO, database of plans each emphasizing treatment planning objectives, is pre-computed approximate Pareto surface. An IMPT that strikes best balance can be selected by navigating on our approach, integrated into MCO adding...
Degradation of RBM39 by indisulam leads to exceptional response in high-risk neuroblastoma.
Candida tropicalis ATCC 20336 excretes alpha,omega-dicarboxylic acids as a by-product when cultured on n-alkanes or fatty the carbon source. Previously, beta-oxidation-blocked derivative of was constructed which showed dramatic increase in production dicarboxylic acids. This paper describes next steps strain improvement, were directed toward isolation and characterization genes encoding omega-hydroxylase enzymes catalyzing first step omega-oxidation pathway. Cytochrome P450 monooxygenase...
Purpose: To make the planning of volumetric modulated arc therapy (VMAT) faster and to explore tradeoffs between objectives delivery efficiency. Methods: A convex multicriteria dose optimization problem is solved for an angular grid 180 equi-spaced beams. This allows planner navigate ideal distribution Pareto surface select a plan desired target coverage versus organ at risk sparing. The selected then made VMAT deliverable by fluence map merging sequencing algorithm, which combines...
Background:We provide common datasets (which we call the CORT dataset: optimization for radiation therapy) that researchers can use when developing and contrasting treatment planning algorithms. The allow to make one-to-one comparisons of algorithms in order solve various instances therapy problem intensity modulated (IMRT), including beam angle optimization, volumetric arc direct aperture optimization.
Volumetric modulated arc therapy (VMAT) has found widespread clinical application in recent years. A large number of treatment planning studies have evaluated the potential for VMAT different disease sites based on currently available commercial implementations planning. In contrast, literature underlying mathematical optimization methods used is scarce. represents a challenging scale problem. contrast to fluence map intensity‐modulated radiotherapy static beams, nonconvex this paper,...
Abstract The impact of somatic structural variants (SVs) on gene expression in cancer is largely unknown. Here, as part the ICGC/TCGA Pan-Cancer Analysis Whole Genomes (PCAWG) Consortium, which aggregated whole-genome sequencing data and RNA from a common set 1220 cases, we report hundreds genes for presence within 100 kb an SV breakpoint associates with altered expression. For majority these genes, increases rather than decreases corresponding events. Up-regulated cancer-associated impacted...
In a predictive modeling setting, if sufficient details of the system behavior are known, one can build and use simulation for making predictions. When not typically turns to machine learning, which builds black-box model using large dataset input sample features outputs. We consider setting is between these two extremes: some mechanics known but enough creating simulations that be used make high quality this context we propose approximate kernel in kernelized learning methods, such as...
Abstract The identification of the precise structural features yeast sterol molecules required for essential “sparking” function has been a controversial area research. Recent cloning and gene disruption studies in Saccharomyces cerevisiae have shown that C‐24 methylation ( ERG6 ), C‐5 desaturation ERG3 ) Δ 8 ‐Δ 7 isomerization ERG2 are not required, while C‐14 demethylation ERG11 reduction ERG24 each aerobic viability. Earlier observations had indicated demethylase deficient strains could...
The purpose of this study is to calculate Pareto surfaces in multi-criteria radiation treatment planning and analyse the dependency on objective functions used for volumes interest. We develop a linear approach that allows us truly optimal plans, we apply it explore tradeoff between tumour dose homogeneity critical structure sparing. show two phantom clinical cases, smooth (as opposed kinked) curve exists. find paraspinal cases surface invariant response function spinal cord: whether mean...
In multi-objective radiotherapy planning, we are interested in Pareto surfaces of dimensions 2 up to about 10 (for head and neck cases, the number structures trade off can be this large). A key question that has not been answered yet is: how many plans does it take sufficiently represent a high-dimensional surface? paper, present method answer question, show points needed is modest: 75 always controlled error within 5%, all cases but one, N + 1 plans, where objectives, was enough for <15%...
The optimization of beam angles in IMRT planning is still an open problem, with literature focusing on heuristic strategies and exhaustive searches discrete angle grids. We show how a set can be locally refined continuous manner using gradient-based the space. gradient derived linear programming duality theory. Applying this local search to 100 random initial sets phantom pancreatic case demonstrates method, highlights many-local-minima aspect BAO problem. Due function structure, we...
We consider the fractionation problem in radiation therapy. Tumor sites which dose-limiting organ at risk (OAR) receives a substantially lower dose than tumor, bear potential for hypofractionation even if α/β-ratio of tumor is larger OAR. In this work, we analyze interdependence optimal scheme and spatial distribution particular, derive criterion under regimen indicated both parallel serial The approach based on concept biologically effective (BED). For hypothetical homogeneously irradiated...