Michael Montalto

ORCID: 0000-0002-3991-2360
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About
Contact & Profiles
Research Areas
  • Radiomics and Machine Learning in Medical Imaging
  • AI in cancer detection
  • Geriatric Care and Nursing Homes
  • Emergency and Acute Care Studies
  • Liver Disease Diagnosis and Treatment
  • Primary Care and Health Outcomes
  • Healthcare Policy and Management
  • Frailty in Older Adults
  • Cancer Genomics and Diagnostics
  • Cancer Immunotherapy and Biomarkers
  • Cell Image Analysis Techniques
  • Complement system in diseases
  • Healthcare Systems and Technology
  • Pancreatic and Hepatic Oncology Research
  • Radioactive contamination and transfer
  • Hepatocellular Carcinoma Treatment and Prognosis
  • Radiology practices and education
  • Medical Imaging Techniques and Applications
  • Healthcare Decision-Making and Restraints
  • Global Health Workforce Issues
  • Radioactive element chemistry and processing
  • Radioactivity and Radon Measurements
  • Patient Satisfaction in Healthcare
  • Health Systems, Economic Evaluations, Quality of Life
  • Telomeres, Telomerase, and Senescence

Critical Path Institute
2020-2024

PathAI (United States)
2020-2024

Epworth Hospital
2009-2024

Analog Devices (United States)
2024

AstraZeneca (United Kingdom)
2024

AstraZeneca (United States)
2024

Amgen (United States)
2024

Bristol-Myers Squibb (United States)
2016-2022

SignPath Pharma (United States)
2022

GlaxoSmithKline (United States)
2021

Limitations on the number of unique protein and DNA molecules that can be characterized microscopically in a single tissue specimen impede advances understanding biological basis health disease. Here we present multiplexed fluorescence microscopy method (MxIF) for quantitative, single-cell, subcellular characterization multiple analytes formalin-fixed paraffin-embedded tissue. Chemical inactivation fluorescent dyes after each image acquisition round allows reuse common iterative staining...

10.1073/pnas.1300136110 article EN Proceedings of the National Academy of Sciences 2013-07-01

Abstract Computational methods have made substantial progress in improving the accuracy and throughput of pathology workflows for diagnostic, prognostic, genomic prediction. Still, lack interpretability remains a significant barrier to clinical integration. We present an approach predicting clinically-relevant molecular phenotypes from whole-slide histopathology images using human-interpretable image features (HIFs). Our method leverages >1.6 million annotations board-certified...

10.1038/s41467-021-21896-9 article EN cc-by Nature Communications 2021-03-12

Background and Aims Manual histological assessment is currently the accepted standard for diagnosing monitoring disease progression in NASH, but limited by variability interpretation insensitivity to change. Thus, there a critical need improved tools assess liver pathology order risk stratify NASH patients monitor treatment response. Approach Results Here, we describe machine learning (ML)‐based approach histology assessment, which accurately characterizes severity heterogeneity, sensitively...

10.1002/hep.31750 article EN cc-by-nc-nd Hepatology 2021-02-14

Complement consists of a complex cascade proteins involved in innate and adaptive immunity. The can be activated through 3 distinct mechanisms, designated the classical, alternative, lectin pathways. Although complement is widely accepted as participating pathophysiology ischemia-reperfusion injury, specific role pathway has not been addressed.Monoclonal antibodies (mAbs; P7E4 14C3.74, IgG1kappa isotypes) were raised against rat mannose-binding (rMBL). Both mAbs recognized rMBL-A by Western...

10.1161/hc3601.095578 article EN Circulation 2001-09-18

Digital pathology offers potential improvements in workflow and interpretive accuracy. Although currently digital is commonly used for research education, its clinical use has been limited to niche applications such as frozen sections remote second opinion consultations. This mainly due regulatory hurdles, but also a dearth of data supporting positive economic cost-benefit. Large scale adoption the integration slides into routine anatomic/surgical "slide less" will occur only if offer...

10.4103/2153-3539.139714 article EN cc-by-nc-sa Journal of Pathology Informatics 2014-01-01

Tissue biomarkers have been of increasing utility for scientific research, diagnosing disease, and treatment response prediction. There has a steady shift away from qualitative assessment toward providing more quantitative scores these biomarkers. The application image analysis thus become an indispensable tool in-depth tissue biomarker interrogation in contexts. This white paper reviews current technologies being employed analysis, their pitfalls, regulatory framework demands, guidelines...

10.1097/pai.0000000000000930 article EN cc-by-nc-nd Applied immunohistochemistry & molecular morphology 2021-03-17

We believe the switch to a digital pathology (DP) workflow is imminent and it essential understand economic implications of conversion. Many aspects adoption DP will be disruptive have direct financial impact, both in short term costs, such as investment equipment personnel, long revenue potential, improved productivity novel tests. The focus this whitepaper educate pathologists, laboratorians other stakeholders about business monetary considerations converting workflow. components plan...

10.4103/jpi.jpi_67_20 article EN cc-by-nc-sa Journal of Pathology Informatics 2021-01-01

Hospital at home (HaH) provides hospital-level care as a substitute for traditional hospital care. Interest in HaH is increasing markedly. While multiple studies of have demonstrated that safe, high-quality, cost-effective care, there remain many unanswered research questions. The objective this study to develop agenda guide future HaH-related research.

10.1111/jgs.17715 article EN cc-by-nc-nd Journal of the American Geriatrics Society 2022-02-24

Clinical trials in metabolic dysfunction-associated steatohepatitis (MASH, formerly known as nonalcoholic steatohepatitis) require histologic scoring for assessment of inclusion criteria and endpoints. However, variability interpretation has impacted clinical trial outcomes. We developed an artificial intelligence-based measurement (AIM) tool MASH histology (AIM-MASH). AIM-MASH predictions Research Network necroinflammation grades fibrosis stages were reproducible (κ = 1) aligned with expert...

10.1038/s41591-024-03172-7 article EN cc-by Nature Medicine 2024-08-07

Endothelial barrier function is altered by the release of soluble polymorphonuclear leukocyte (PMN)-derived mediators during inflammatory states. However, endogenous pathways to describe such changes are only recently appreciated. Using an <i>in vitro</i> endothelial paracellular permeability model, cell-free supernatants from formylmethionylleucylphenylalanine-stimulated PMNs were observed significantly alter permeability. Biophysical and biochemical analysis PMN identified PMN-derived...

10.1074/jbc.m110557200 article EN cc-by Journal of Biological Chemistry 2002-04-01

Assessment of programmed death ligand 1 (PD-L1) expression by immunohistochemistry (IHC) has emerged as an important predictive biomarker across multiple tumor types. However, manual quantitation PD-L1 positivity can be difficult and leads to substantial inter-observer variability. Although the development artificial intelligence (AI) algorithms may mitigate some challenges associated with assessment improve accuracy scoring, use AI-based approaches oncology scoring drug been sparse,...

10.1038/s41379-022-01119-2 article EN cc-by Modern Pathology 2022-07-15

The Victorian Department of Health reviewed its Hospital in the Home (HIH) program 2009, for first time a decade. Annual reimbursements to all hospitals HIH care had reached $110 million. Nearly have an program. Collectively, these units recorded 32 462 inpatient admissions 2008–09, representing 2.5% admissions, 5.3% multiday and 5% bed-days Victoria. If were single entity, it would be 500-bed hospital. Treatment many patients with acute community- hospital-acquired infections or venous...

10.5694/j.1326-5377.2010.tb04070.x article EN The Medical Journal of Australia 2010-11-01

Accurate focusing is a critical challenge of whole slide imaging, primarily due to inherent tissue topography variability. Traditional line scanning and tile-based systems are limited in their ability acquire high degree focus points while still maintaining throughput. This review examines limitations with first-generation explores novel approach that employs continuous autofocus, referred as independent dual sensor scanning. second-generation concept decouples image acquisition from...

10.4103/2153-3539.86282 article EN cc-by-nc-sa Journal of Pathology Informatics 2011-01-01

Objective To describe uptake of hospital in the home (HIH) by major Australian hospitals and characteristics patients their HIH admissions; to assess change admission numbers relative total activity. Design Descriptive, retrospective study activity, analysing previously collected census data for all multi-day inpatient admissions included during period 1 January 2011 – 31 December 2017. Setting, participants Nineteen principal referrer members Health Roundtable Australia. Main outcome...

10.5694/mja2.50599 article EN The Medical Journal of Australia 2020-05-01

Background: HER2 expression level is a key factor in determining the optimal treatment course for breast cancer patients. Roughly 15% of cancers are HER2(+), and determination status routinely assessed by immunohistochemistry (IHC). Accurate assessment IHC score pathologists therefore critical, especially light novel therapeutic approaches demonstrating efficacy HER2-low setting. However, there an opportunity to improve inter-pathologist agreement at lower levels scoring (0, 1+, 2+)....

10.1101/2025.02.04.25321335 preprint EN cc-by-nc medRxiv (Cold Spring Harbor Laboratory) 2025-02-05

Nonalcoholic steatohepatitis (NASH) is the most common chronic liver disease globally and a leading cause for transplantation in US. Its pathogenesis remains imprecisely defined. We combined two high-resolution modalities to tissue samples from NASH clinical trials, machine learning (ML)-based quantification of histological features transcriptomics, identify genes that are associated with progression events. A histopathology-driven 5-gene expression signature predicted events patients F3...

10.1016/j.xcrm.2023.101016 article EN cc-by-nc-nd Cell Reports Medicine 2023-04-01

Background.Hospital in the Home (HIH) research is characterised by small samples new programs. We sought to examine a large number of consecutive HIH admissions over many years an established, medically-managed service determine whether: (1) safe and effective method delivering acute hospital care, under usual operating conditions established unit; (2) what patient, condition treatment variables contribute greater risk failure. Method.A survey all patients admitted unit from 2000–2007....

10.1071/ah09771 article EN Australian Health Review 2010-01-01

10.1016/j.cger.2008.10.002 article EN Clinics in Geriatric Medicine 2009-02-01

Clinical trials in nonalcoholic steatohepatitis (NASH) require histologic scoring for assessment of inclusion criteria and endpoints. However, guidelines key features have led to variability interpretation, impacting clinical trial outcomes. We developed an artificial intelligence (AI)-based measurement (AIM) tool NASH histology (AIM-NASH). AIM-NASH predictions Research Network (CRN) grades necroinflammation stages fibrosis aligned with expert consensus scores were reproducible. Continuous...

10.1101/2023.04.20.23288534 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2023-04-25
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