Publications

My research output, grouped by type: peer-reviewed manuscripts, conference abstracts and preprints. Author list and DOIs per the ORCID record.

Journal Articles

Association of pulmonary artery radiation with pulmonary hypertension after lung cancer radiotherapy

Thorax · 2026 Published

Abstract

Cardiac-toxicity substudy of the 11-286 thoracic radiation cohort relating pulmonary-artery radiation dose to post-treatment pulmonary hypertension. I built the RPDR extraction: echocardiogram and right-heart-catheterization report counts before and after radiotherapy, regex extraction of tricuspid regurgitation severity, TAPSE and PASP from echo reports, and main pulmonary-artery diameter from chest CT reports, delivered to the co-authors for deidentified analysis.

Thymic radiation is associated with worse outcomes in patients with NSCLC

Annals of Oncology · 2026 Published

Abstract

Relates radiation dose to the thymus and lymphocyte health to survival in two lung-cancer chemoradiation cohorts (Harvard-CRT, 422 patients with complete dose data, and the chemoradiation-plus-durvalumab cohort). I extracted and validated the clinical, dosimetric, genomic and lymphocyte data from the 11-286 REDCap database and RPDR laboratory files: performance status, heart and lung V5, PTV volume, LAD dose metrics, tumor genotyping, pre- and post-treatment lymphocyte counts, and durvalumab cycle dates.

Cardiac Risk, Outcomes, and Management Among Older Adults with Stage I-II NSCLC Undergoing Stereotactic Body Radiation Therapy

Journal of Geriatric Oncology · 2026 Published

Face Aging Rate: Artificial Intelligence-based Quantification of Temporal Changes in Biological Age as a Prognostic Biomarker in Cancer Patients

Nature Communications · 2025 Published

Preprints

An agentic AI system enhances clinical detection of immunotherapy toxicities: a multi-phase validation study

medRxiv · 2026 Preprint

Foundation Artificial Intelligence Models for Health Recognition Using Face Photographs (FAHR-Face)

arXiv · 2025 Preprint

Abstract

FAHR-Face is a foundation model trained on >40 million facial images and fine-tuned for two tasks: biological age estimation (FAHR-FaceAge) and survival risk prediction (FAHR-FaceSurvival). FAHR-FaceAge achieved a mean absolute error of 5.1 years on public datasets and outperformed benchmark models across the full human lifespan. FAHR-FaceSurvival demonstrated robust mortality prediction, with the highest-risk quartile showing more than triple the mortality of the lowest (adjusted HR 3.22; P<0.001). The combination of both models improved prognostic accuracy. Deployed at faceage.bwh.harvard.edu.

Citation
Haugg F, Lee G, He J, Nürnberg L, Bontempi D, Bitterman DS, Catalano P, Prudente V, Glubokov D, Warrington A, Pai S, De Ruysscher D, Guthier C, Kann BH, Gladyshev VN, Aerts HJWL, Mak RH. Foundation Artificial Intelligence Models for Health Recognition Using Face Photographs (FAHR-Face). arXiv:2506.14909. 2025.

Association of Pulmonary Artery Radiation with Pulmonary Hypertension after Lung Cancer Radiotherapy

SSRN · 2025 Preprint; published in Thorax, Aug 2026

Abstracts

Multimodal Modeling of CCI, FaceAge, Thymic Health, and OS Among Older Adults with Early-Stage NSCLC Undergoing SBRT

ASCO · 2026 Published

Cardiac Risk, Outcomes, and Management among Older Adults with Stage I-II NSCLC Undergoing Stereotactic Body Radiation Therapy

International Journal of Radiation Oncology, Biology, Physics (ASTRO) · 2025 Published