Amirhossein Jalali

Lecturer in Biostatstics

University of Limerick

Ireland

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About

Amirhossein Jalali is a Lecturer in Biostatistics at the University of Limerick, Ireland. His research focuses on healthcare costs and health outcomes, including neoadjuvant therapies for cancer. He also explores diagnostic methodologies, such as MRI-based risk calculators and machine learning applications in predicting obesity and cancer outcomes. His recent work includes systematic reviews and analyses that aim to enhance health research through innovative approaches.

Articles (19)

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2025

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2021

Collaborators (15)

James AL Brown

University of Limerick

IRELAND

Amirhossein Jalali

Research Interests

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About

Articles (19)

Healthcare costs and health outcomes analysis of Neoadjuvant Trastuzumab therapy for HER2 positive breast cancer.

Clinical impact of MRI-based risk calculators for prostate cancer diagnosis: a systematic review and meta-analysis

Comparing logistic regression and machine learning for obesity risk prediction: A systematic review and meta-analysis

An Exploratory Study of Capacity Assessment in Medical Practice in Ireland

Designing infographics in health research with patients and the public: A scoping review

The Use of MRI Based Risk Calculators in Prostate Cancer Diagnosis: A Systematic Review

AB071. SOH24AB_184. Evaluating preoperative neutrophil-lymphocyte ratio as a predictive biomarker in primary breast cancer

Designing infographics in health research with patients and the public: A scoping review protocol

Optimal Management of Asymptomatic Carotid Artery Stenosis: A Systematic Review and Network Meta-Analysis

P53 loss of heterozygosity (LOH) in formalin-fixed paraffin-embedded leiomyosarcoma (LMS): a novel report

O034 Exploring neutrophil-lymphocyte ratio as a predictor of postoperative breast cancer overall survival

Peripheral Blood Cell Ratios as Prognostic Indicators in a Neoadjuvant Chemotherapy-Treated Breast Cancer Cohort

Establishing electroporation thresholds for targeted cell specific cardiac ablation in a 2D culture model

Outcomes of Saphenous Vein Intervention in the Management of Superficial Venous Incompetence: A Systematic Review and Network Meta-Analysis

A Novel Surrogate Nomogram Capable of Predicting OncotypeDX Recurrence Score©

NRXN1α+/- is associated with increased excitability in ASD iPSC-derived neurons

Integrating Serum Biomarkers into Prediction Models for Biochemical Recurrence Following Radical Prostatectomy.

Nomogram to Predict the Overall Survival of Colorectal Cancer Patients: A Multicenter National Study.

Outcomes of Saphenous Vein Intervention in the Management of Superficial Venous Incompetence: A Systematic Review and Network Meta-Analysis.

Collaborators (15)

James AL Brown

Michael Kerin

Howard Fearnhead

Timothy O’Brien

Emer Bourke

Sanbing Shen

Laura Gorman

Jon Salsberg

Shirin Moghaddam

Helmut Klocker

William Watson

Nicola Miller

Thomas Brendan Murphy

Stewart R Walsh

Barry O'Brien

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