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Article
Open AccessPatients with unmet social needs are at higher risks of develo** severe long COVID-19 symptoms and neuropsychiatric sequela
This study investigated long COVID of patients in the Montefiore Health System COVID-19 (CORE) Clinics in the Bronx with an emphasis on identifying health related social needs (HRSNs). We analyzed a cohort of ...
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Article
Open AccessMachine learning prediction of pathological complete response and overall survival of breast cancer patients in an underserved inner-city population
Generalizability of predictive models for pathological complete response (pCR) and overall survival (OS) in breast cancer patients requires diverse datasets. This study employed four machine learning models to...
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Article
Open AccessDeep learning applications to breast cancer detection by magnetic resonance imaging: a literature review
Deep learning analysis of radiological images has the potential to improve diagnostic accuracy of breast cancer, ultimately leading to better patient outcomes. This paper systematically reviewed the current li...
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Article
Open AccessAuthor Correction: Radiogenomic classification for MGMT promoter methylation status using multi-omics fused feature space for least invasive diagnosis through mpMRI scans
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Article
Longitudinal medical subspecialty follow-up of critically and non-critically ill hospitalized COVID-19 survivors up to 24 months after discharge
Medical specialty usage of COVID-19 survivors after hospital discharge is poorly understood. This study investigated medical specialty usage at 1–12 and 13–24 months post-hospital discharge in critically ill a...
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Article
Open AccessRadiogenomic classification for MGMT promoter methylation status using multi-omics fused feature space for least invasive diagnosis through mpMRI scans
Accurate radiogenomic classification of brain tumors is important to improve the standard of diagnosis, prognosis, and treatment planning for patients with glioblastoma. In this study, we propose a novel two-s...
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Article
Open AccessClinical predictors of recovery of COVID-19 associated-abnormal liver function test 2 months after hospital discharge
This study investigated whether acute liver injury (ALI) persisted and identified predictors of ALI recovery [as indicated by alanine aminotransferase (ALT) level] at hospital discharge and 2 months post-disch...
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Article
Open AccessDeep learning of longitudinal chest X-ray and clinical variables predicts duration on ventilator and mortality in COVID-19 patients
To use deep learning of serial portable chest X-ray (pCXR) and clinical variables to predict mortality and duration on invasive mechanical ventilation (IMV) for Coronavirus disease 2019 (COVID-19) patients.
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Article
Open AccessBrain Reactions to Opening and Closing the Eyes: Salivary Cortisol and Functional Connectivity
This study empirically assessed the strength and duration of short-term effects induced by brain reactions to closing/opening the eyes on a few well-known resting-state networks. We also examined the associati...
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Article
Longitudinal prediction of hospital-acquired acute kidney injury in COVID-19: a two-center study
To investigate the temporal characteristics of clinical variables of hospital-acquired acute kidney injury (AKI) in COVID-19 patients and to longitudinally predict AKI onset.
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Article
Open AccessCharacterizing non-critically ill COVID-19 survivors with and without in-hospital rehabilitation
This study investigated pre-COVID-19 admission dependency, discharge assistive equipment, discharge medical follow-up recommendation, and functional status at hospital discharge of non-critically ill COVID-19 ...
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Article
Open AccessElectrocorticography reveals thalamic control of cortical dynamics following traumatic brain injury
The return of consciousness after traumatic brain injury (TBI) is associated with restoring complex cortical dynamics; however, it is unclear what interactions govern these complex dynamics. Here, we set out t...
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Article
Longitudinal progression of clinical variables associated with graded liver injury in COVID-19 patients
Hospital-acquired liver injury is associated with worse outcomes in COVID-19. This study investigated the temporal progression of clinical variables of in-hospital liver injury in COVID-19 patients.
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Article
Open AccessMachine learning classification of texture features of MRI breast tumor and peri-tumor of combined pre- and early treatment predicts pathologic complete response
This study used machine learning classification of texture features from MRI of breast tumor and peri-tumor at multiple treatment time points in conjunction with molecular subtypes to predict eventual patholog...
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Article
White matter correlates of slowed information processing speed in unimpaired multiple sclerosis patients with young age onset
Slowed information processing speed is among the earliest markers of cognitive impairment in multiple sclerosis (MS) and has been associated with white matter (WM) structural integrity. Localization of WM trac...
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Article
Open AccessFunctional status of mechanically ventilated COVID-19 survivors at ICU and hospital discharge
A significant number of COVID-19 patients have been treated using invasive mechanical ventilation (IMV). The ability to evaluate functional status of COVID-19 survivors early on at ICU and hospital discharge m...
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Article
Open AccessMachine-learning classification of texture features of portable chest X-ray accurately classifies COVID-19 lung infection
The large volume and suboptimal image quality of portable chest X-rays (CXRs) as a result of the COVID-19 pandemic could post significant challenges for radiologists and frontline physicians. Deep-learning art...
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Chapter and Conference Paper
Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Using Deep Learning with Integrative Imaging, Molecular and Demographic Data
Neoadjuvant chemotherapy is widely used to reduce tumor size to make surgical excision manageable and to minimize distant metastasis. Assessing and accurately predicting pathological complete response is impor...
