MaryLena Bleile

ORCID: 0000-0002-0762-2596
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About
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Research Areas
  • Mathematical Biology Tumor Growth
  • Cancer Immunotherapy and Biomarkers
  • Effects of Radiation Exposure
  • Single-cell and spatial transcriptomics
  • Neonatal and fetal brain pathology
  • Advanced Neuroimaging Techniques and Applications
  • Functional Brain Connectivity Studies
  • Gene expression and cancer classification
  • Radiomics and Machine Learning in Medical Imaging
  • Advanced MRI Techniques and Applications
  • Radiation Therapy and Dosimetry
  • Ethics and Social Impacts of AI
  • Cell Image Analysis Techniques
  • Statistical Methods and Inference
  • Advancements in PLL and VCO Technologies
  • Colorectal Cancer Screening and Detection
  • Immunotherapy and Immune Responses
  • Photonic and Optical Devices
  • Particle Detector Development and Performance
  • Colorectal Cancer Treatments and Studies
  • Immune cells in cancer
  • Genetic factors in colorectal cancer
  • Statistical Methods in Clinical Trials
  • Social and Cultural Dynamics
  • Wine Industry and Tourism

Memorial Sloan Kettering Cancer Center
2024

Southern Methodist University
2021-2024

The University of Texas Southwestern Medical Center
2024

The incidence and mortality of early onset colorectal cancer (EOCRC) is rising; outcomes appear to differ by race ethnicity. We aimed assess differences in mutational landscape gene expression EOCRC racial ethnic groups (non-Hispanic Asian, non-Hispanic Black, White, White Hispanic) using data from the American Association for Cancer Research Project GENIE (10.2) University Texas Southwestern, latter enriched Hispanic patients. All statistical tests were 2-sided. Of 1752 patients, Black...

10.1093/jnci/djac014 article EN JNCI Journal of the National Cancer Institute 2022-01-28
Adam Richie-Halford Matthew Cieslak Lei Ai Sendy Caffarra Sydney Covitz and 95 more Alexandre R. Franco Iliana I. Karipidis John Kruper Michael P. Milham Bárbara Avelar‐Pereira Ethan Roy Valerie J. Sydnor Jason D. Yeatman Nicholas J. Abbott John A. E. Anderson B. Gagana MaryLena Bleile Peter S. Bloomfield Vince Bottom Josiane Bourque Rory Boyle Julia K. Brynildsen Navona Calarco Jaime J. Castrellon Natasha Chaku Bosi Chen Sidhant Chopra Emily B. J. Coffey Nigel Colenbier Daniel Cox James Elliott Crippen Jacob J. Crouse Szabolcs Dávid Benjamin De Leener Gwyneth Delap Zhi‐De Deng Jules R. Dugré Anders Eklund Kirsten Ellis Arielle Ered Harry Farmer Joshua Faskowitz Jody E. Finch Guillaume Flandin Matthew W. Flounders Leon Fonville Summer Frandsen Dea Garic Patricia Garrido-Vásquez Gabriel González‐Escamilla Shannon E. Grogans Mareike Grotheer David C. Gruskin Guido I. Guberman Edda B. Haggerty Younghee Hahn Elizabeth H. Hall Jamie L. Hanson Yann Harel Bruno Hebling Vieira Meike D. Hettwer Harriet Hobday Corey Horien Fan Huang Zeeshan M. Huque Anthony R. James Isabella Kahhalé Sarah L. H. Kamhout Arielle S. Keller Harmandeep Singh Khera Gregory Kiar Peter Alexander Kirk Simon H. Kohl Stephanie A. Korenic Cole Korponay Alyssa K. Kozlowski Nevena Kraljević Alberto Lazari Mackenzie J. Leavitt Zhaolong Li Giulia Liberati Elizabeth S. Lorenc Annabelle Julina Lossin Leon D. Lotter David M. Lydon‐Staley Christopher R. Madan Neville Magielse Hilary A. Marusak Julien Mayor Amanda L. McGowan Kahini Mehta Steven L. Meisler Cleanthis Michael Mackenzie E. Mitchell Simon Morand‐Beaulieu Benjamin T. Newman Jared A. Nielsen Shane M. O’Mara Amar Ojha Adam Omary

We created a set of resources to enable research based on openly-available diffusion MRI (dMRI) data from the Healthy Brain Network (HBN) study. First, we curated HBN dMRI (N = 2747) into Imaging Data Structure and preprocessed it according best-practices, including denoising correcting for motion effects, susceptibility-related distortions, eddy currents. Preprocessed, analysis-ready was made openly available. quality plays key role in analysis dMRI. To optimize QC scale this large dataset,...

10.1038/s41597-022-01695-7 article EN cc-by Scientific Data 2022-10-12

SUMMARY Quantitative assessment of multiplex immunofluorescence (mIF) data represents a powerful tool for immunotherapy biomarker discovery in melanoma and other solid tumors. In addition to providing detailed phenotypic information immune cells the tumor microenvironment, these datasets contain spatial that can reveal biologically relevant interactions among cell types. To assess quantitative mIF analysis as platform discovery, we used 12-plex panel characterize samples collected from 50...

10.1101/2024.08.09.24311758 preprint EN medRxiv (Cold Spring Harbor Laboratory) 2024-08-10

Achieving effective synergy between radiotherapy and immunotherapy is critical for optimizing tumor control treatment outcomes. To explore the underlying mechanisms of this synergy, we have investigated a novel approach known as personalized ultra-fractionated stereotactic adaptive radiation therapy (PULSAR), which emphasizes impact timing on efficacy. However, precise mechanism remains unclear. Building insights from small animal PULSAR studies, developed mathematical framework consisting...

10.48550/arxiv.2401.00024 preprint EN cc-by-sa arXiv (Cornell University) 2024-01-01

PULSAR (personalized ultrafractionated stereotactic adaptive radiotherapy) is a form of radiotherapy method where patient given large dose or pulse radiation couple weeks apart rather than daily small doses. The tumor response then monitored to determine when the subsequent should be given. Pre-clinical trials have shown better in mice that received immunotherapy along with pulses spaced 10 days apart. However, this was not case were 1 day Therefore, synergistic effect between and observed...

10.48550/arxiv.2402.06101 preprint EN arXiv (Cornell University) 2024-02-08

Recent progress in multiplexed tissue imaging is advancing the study of tumor microenvironments to enhance our understanding treatment response and disease progression. Cellular neighborhood analysis a popular computational approach for these complex image data. Despite its popularity, there are significant challenges, including high demands that limit feasibility large-scale applications lack principled strategy integrative across images. This absence hampers precise consistent...

10.1101/2024.10.08.617293 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2024-10-13

Heavy metal ethnography and historiography has been extensively explored from a qualitative perspective. However, quantitative methods of analysis have not developed. We conduct Bayesian geographical heavy subgenres, investigating the relative prevalence each subgenre in nations (for 86 countries northern Europe West), overall popularity, according to selected countries. Data two different websites, MetalStorm Encyclopaedia Metallum, were harvested via web ‘scraping’ used for analysis....

10.1386/mms_00084_1 article EN Metal Music Studies 2022-09-01

Queer in AI is an organization that aims to combat the harms faced by queer researchers within AI. Several inclusion initiatives are outlined, including those centered on policy and financial aid.

10.1145/3538543 article EN XRDS Crossroads The ACM Magazine for Students 2022-06-01

We present the procedures and results of quality control tests for front-end optical link components in ATLAS Liquid Argon Calorimeter Phase-1 upgrade. The include a Vertical-Cavity Surface-Emitting Laser (VCSEL) driver ASIC LOCld, custom transmitter/transceiver modules MTx/MTRx, transmitter LOCx2. MTx, LOCx2 each contain two channels with same structure, while MTRx has channel receiver channel. Each is tested at 5.12 Gbps. A total 5341 LOCld chips, 3275 MTx modules, 797 3198 chips are...

10.1088/1748-0221/16/08/p08006 article EN Journal of Instrumentation 2021-08-01
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