- Ocular Infections and Treatments
- Intraocular Surgery and Lenses
- Climate Change and Health Impacts
- Health disparities and outcomes
- Corneal surgery and disorders
- COVID-19 and Mental Health
- COVID-19 epidemiological studies
- Neural dynamics and brain function
- Botulinum Toxin and Related Neurological Disorders
- Air Quality and Health Impacts
- Retinal and Macular Surgery
- Phonocardiography and Auscultation Techniques
- COVID-19 impact on air quality
- Hemodynamic Monitoring and Therapy
- Ocular Diseases and Behçet’s Syndrome
- Sinusitis and nasal conditions
- Memory and Neural Mechanisms
- Glaucoma and retinal disorders
- COVID-19 and healthcare impacts
- Sepsis Diagnosis and Treatment
- Memory Processes and Influences
- Vascular Malformations Diagnosis and Treatment
- Parkinson's Disease Mechanisms and Treatments
- COVID-19 Pandemic Impacts
- Toxoplasma gondii Research Studies
Harvard University
2020-2025
Erasmus MC
2025
Massachusetts General Hospital
2025
Massachusetts Institute of Technology
2024
Harvard University Press
2021-2022
Harvard College Observatory
2020-2021
Center for Pain and the Brain
2021
Westmead Hospital
2001-2017
Sydney Hospital
1978-2003
Chronological age is a cornerstone of medical decision-making but limited because individuals at different rates. We recently released an open-source deep learning model to assess biological from chest radiograph images (CXR-Age), which predicts incident all-cause and cardiovascular mortality better than chronological age. Here, we compare CXR-Age two established epigenetic aging clocks (First generation- Horvath Age; Second DNAm PhenoAge), test more strongly associated with measures...
Introduction: We developed a custom digital drawing application to assess hand function. conducted an initial validation study of this technique (1) which features are associated with function, (2) differentiate patients from control subjects for both dominant and nondominant hands, (3) the correlation previously validated patient-reported outcome measures (PROMs). Methods: In prospective study, participants were asked draw shapes on Apple iPad pen using app. Drawings 142 hands in 73...
A retrospective case-control study was conducted to investigate risk factors for endophthalmitis following routine intraocular surgery.A review performed of consecutive cases from three teaching hospitals in the western Sydney region and matched controls same institutions between 1996 1998.There were 31 66 controls. Eighty procedures phacoemulsification, 15 conventional extracapsular cataract extraction, two penetrating keratoplasties. Of 80 patients who had phacoemulsification surgery, 50 a...
To evaluate the outcome and surgery-associated risks in patients undergoing 23-gauge pars plana vitrectomy (PPV) for retained lens fragments.Retrospective analysis of 42 eyes consecutive at a tertiary teaching hospital Sydney (Australia) during period 4 years. Evaluation final visual acuity, complications, differences receiving an intraocular primary cataract surgery, acuity regarding usage phacofragmatome vitrectomy-related complications.The majority (83.3%) achieved 0.3 (logarithm minimum...
Conventional means of Parkinson's Disease (PD) screening rely on qualitative tests typically administered by trained neurologists. Tablet technologies that enable data collection during handwriting and drawing tasks may provide low-cost, portable, instantaneous quantitative methods for high-throughput PD screening. However, past efforts to use from tablet-based processes distinguish between control populations have demonstrated only moderate classification ability. Focusing digitized...
State-level policy interventions have been critical in managing the spread of new coronavirus. Here, we study lag time between and change COVID-19 outcome trajectory United States. We develop a stepwise drifts random walk model to account for non-stationarity strong temporal correlation subsequently apply change-point detection algorithm estimate number times points data. Furthermore, harmonize data on estimated with non-pharmaceutical adopted by each state States, which provides us insights...
Sepsis is a leading cause of morbidity and mortality worldwide characterized by vascular leak. Treatment for sepsis, specifically intravenous fluids, may worsen deterioration in the context We therefore sought to quantify leak sepsis patients guide fluid resuscitation.
Abstract Humans have the remarkable ability to continually store new memories, while maintaining old memories for a lifetime. How brain avoids catastrophic forgetting of due interference between encoded is an open problem in computational neuroscience. Here we present model continual learning recurrent neural network combining Hebbian learning, synaptic decay and novel memory consolidation mechanism: undergo stochastic rehearsals with rates proportional memory’s basin attraction, causing...
We report a case of Morganella morganii acute endophthalmitis following clear corneal phacoemulsification cataract surgery in which coincident asymptomatic chronic urinary tract infection was detected postoperatively. is gram-negative bacillus that inhabits the gastrointestinal and part normal fecal flora. It an opportunistic pathogen usually encountered postoperative nosocomial settings, causing wound infections. Chronic may be risk factor for endophthalmitis. A dipstick urinalysis before...
To assess heterogeneity in pandemic-period excess fatal overdoses the United States, by location (state, county) and substance type.
To evaluate outcomes in patients with complex retinal detachments (RD) proliferative vitreoretinopathy (PVR) requiring retinectomy using a staged approach utilizing perfluoro-n-octane (PFO) as short-term postoperative intraocular tamponade.Retrospective analysis. Patients who underwent 23G pars plana vitrectomy for the management of complicated RD where PFO was used primary temporary tamponade. Only eyes PVR rhegmatogenous or penetrating injuries globe ruptures (ocular trauma) and subsequent...
Purpose: Specular and confocal microscopes are important tools to monitor the health of corneal endothelium (CE), but their high costs significantly limit accessibility in low-resource environments. We developed validated a low-cost, fully automated method quantitatively evaluate CE using smartphone-based specular microscopy. Methods: A OnePlus 7 Pro smartphone attached Topcon SL-D701 slit-lamp was used image central 30 eyes reflection technique. novel on-device processing algorithm...
Simple, sensitive, accurate, precise and rapid ultraviolet (UV) spectrophotometric method was developed for the estimation of Irebesartan in pure form, its formulations stability samples. Sample recovery both using above good agreement with their respective labeled claims, thus suggesting validity non-interference formulation excipients estimation. Detection wavelength selected as 263 nm Linearity response observed range 10-100 µg/ml having R2 = 0.999. ( R2= not less then .996 ) The...
ABSTRACT Purpose Fluorescein staining (FS) is a standard method of assessing corneal epithelium (CE) integrity. However, the equipment and personnel required for FS may be unavailable in low-resource environments. We developed validated low-cost, noninvasive, quantitative CE evaluation pipeline using custom smartphone attachment convolutional neural networks (CNNs). Methods A 3D-printed placido disk illumination module was attached to OnePlus 7 Pro smartphone. 26 smartphone-acquired images...
Introduction/Background: We previously demonstrated that an open-source deep learning model (CXR-CVD Risk) can predict 10-year major adverse cardiovascular events (myocardial infarction&stroke), based on a chest radiograph image (CXR). As models are black boxes, establishing the biological processes captures to risk may help build understanding and trust in model. Research Questions/Hypothesis: To test associations between deep-learning derived CXR-CVD Risk markers of disease including...
SUMMARY Background This study assessed whether deep learning applied to routine outpatient chest X-rays (CXRs) can identify individuals at high risk for incident chronic obstructive pulmonary disease (COPD). Methods Using cancer screening trial data, we previously developed a convolutional neural network (CXR-Lung-Risk) predict lung-related mortality from CXR image. In this study, externally validated CXR-Lung-Risk COPD CXRs. We identified outpatients without lung cancer, COPD, or emphysema...
Abstract Humans have the remarkable ability to continually store new memories, while maintaining old memories for a lifetime. How brain avoids catastrophic forgetting of due interference between encoded is an open problem in computational neuroscience. Here we present model continual learning recurrent neural network combining Hebbian learning, synaptic decay and novel memory consolidation mechanism. Memories undergo stochastic rehearsals with rates proportional memory’s basin attraction,...
Abstract There have been a number of pharmaceutical and non-pharmaceutical interventions associated with COVID-19 over the past two years. Various were proposed implemented to control spread pandemic. Most common these partial complete lockdowns that used in an attempt minimize costs mortality, economic losses social factors, while being subject constraints such as finite hospital capacity. Here, we use minimal model posed terms optimal theory understand benefits strategies. This allows us...