M. Saleem Ismail
A5063620602- Dementia and Cognitive Impairment Research
- Alzheimer's disease research and treatments
- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Neurological Disease Mechanisms and Treatments
- Brain Tumor Detection and Classification
- Schizophrenia research and treatment
- Bioinformatics and Genomic Networks
- Health, Environment, Cognitive Aging
- Memory and Neural Mechanisms
- Neuroinflammation and Neurodegeneration Mechanisms
- Machine Learning in Healthcare
- Diet and metabolism studies
- Prion Diseases and Protein Misfolding
- Genetic Associations and Epidemiology
- Machine Learning in Bioinformatics
- Pharmaceutical Practices and Patient Outcomes
- Parkinson's Disease Mechanisms and Treatments
- Amyloidosis: Diagnosis, Treatment, Outcomes
- Statistical Methods and Inference
- Cholinesterase and Neurodegenerative Diseases
- Neurological disorders and treatments
- Treatment of Major Depression
- S100 Proteins and Annexins
- Trace Elements in Health
University Health Network
2024
St. Michael's Hospital
2024
Alzheimer’s Disease Neuroimaging Initiative
2023-2024
Neurology, Inc
2024
University of Toronto
2024
Toronto Liver Centre
2024
University of Rochester Medical Center
2012-2023
Universität Ulm
2023
Cohort (United Kingdom)
2023
The University of Texas Southwestern Medical Center
2019
Second-generation (atypical) antipsychotic drugs are widely used to treat psychosis, aggression, and agitation in patients with Alzheimer's disease, but their benefits uncertain concerns about safety have emerged. We assessed the effectiveness of atypical outpatients disease.In this 42-site, double-blind, placebo-controlled trial, 421 disease or were randomly assigned receive olanzapine (mean dose, 5.5 mg per day), quetiapine 56.5 risperidone 1.0 placebo. Doses adjusted as needed, followed...
Abstract Alzheimer’s Disease (AD) is a progressive neurodegenerative disease where biomarkers for based on pathophysiology may be able to provide objective measures diagnosis and staging. Neuroimaging scans acquired from MRI metabolism images obtained by FDG-PET in-vivo measurements of structure function (glucose metabolism) in living brain. It hypothesized that combining multiple different image modalities providing complementary information could help improve early AD. In this paper, we...
Background Epidemiologic evidence suggests that nonsteroidal anti‐inflammatory drugs (NSAIDs) delay onset of Alzheimer's dementia (AD), but randomized trials show no benefit from NSAIDs in patients with symptomatic AD. The Disease Anti‐inflammatory Prevention Trial (ADAPT) 2528 elderly persons to naproxen or celecoxib versus placebo for 2 years (standard deviation = 11 months) before treatments were terminated. During the treatment interval, 32 cases AD revealed increased rates both...
The ε4 allele of the apolipoprotein E (APOE) gene is major genetic risk factor for Alzheimer’s disease (AD), but limited work has suggested that APOE genotype may modulate phenotype. Carriers have been reported to greater medial temporal lobe (MTL) pathology and poorer memory than noncarriers. Less attention focused on whether there are domains cognition neuroanatomical regions more affected in Further, a potential confound prior vivo studies possibility different rates clinical misdiagnosis...
Regions of the temporal and parietal lobes are particularly damaged in Alzheimer's disease (AD), this leads to a predictable pattern brain atrophy. In vivo quantification subregional atrophy, such as changes cortical thickness or structure volume, could lead improved diagnosis better assessment neuroprotective effects therapy. Toward end, we have developed fast robust method for accurately quantifying cerebral structural several subcortical regions using serial MRI scans. 169 healthy...
<h3>Context</h3>Agitation and psychosis are common in Alzheimer disease cause considerable morbidity. We attempted to delay or prevent agitation with the use of divalproex sodium (valproate).<h3>Objective</h3>To determine whether treatment valproate could emergence psychosis.<h3>Design, Setting, Patients</h3>A multicenter, randomized, double-blind, placebo-controlled trial flexible-dose 313 (of 513 screened) individuals moderate who had not yet experienced psychosis. The study was conducted...
Accurate diagnosis of mild cognitive impairment (MCI) before conversion to Alzheimer's disease (AD) is invaluable for patient treatment. Many works showed that MCI and AD affect functional structural connections between brain regions as well the shape cortical regions. However, 'shape connections' are rarely investigated -e.g., how morphological attributes such thickness sulcal depth a specific region change in relation other To fill this gap, we unprecedentedly design multiplexes late...
Treatment outcomes for people living with autoimmune hepatitis (AIH) are limited by a lack of specific therapies, as well well-validated prognostic tools and clinical trial endpoints. We sought to identify predictors outcome AIH.
Accurate prediction of Alzheimer's disease (AD) is important for the early diagnosis and treatment this condition. Mild cognitive impairment (MCI) an stage AD. Therefore, patients with MCI who are at high risk fully developing AD should be identified to accurately predict However, relationship between brain images difficult construct because complex characteristics neuroimaging data. To address problem, we present a longitudinal measurement hierarchical classification method prediction....
The Clinical Classification Software Refined (CCSR) is a tool that groups many thousands of International Diseases 10th Revision (ICD-10) diagnosis codes into approximately 500 clinically meaningful categories, simplifying analyses. However, CCSR was developed for use in the United States and may not work well with other country-specific ICD-10 coding systems.
To investigate predictors of missing data in a longitudinal study Alzheimer disease (AD).The Alzheimer's Disease Neuroimaging Initiative (ADNI) is clinic-based, multicenter, with blood, CSF, PET, and MRI scans repeatedly measured 229 participants normal cognition (NC), 397 mild cognitive impairment (MCI), 193 AD during 2005-2007. We used univariate multivariable logistic regression models to examine the associations between baseline demographic/clinical features loss biomarker follow-ups...
This article describes the development of protocol for Clinical Antipsychotic Trials Intervention Effectiveness (CATIE) Alzheimer's disease trial, which was developed in collaboration with National Institute Mental Health to assess effectiveness atypical antipsychotics psychosis and/or agitation occurring outpatients disease. The provides a detailed description methodology used trial as well clinical outcomes and measures incorporated into it, discussing most salient issues encountered...
It is increasingly recognized that Alzheimer's disease (AD) exists before dementia present and shifts in amyloid beta occur long clinical symptoms can be detected. Early detection of these molecular changes a key aspect for the success interventions aimed at slowing down rates cognitive decline. Recent evidence indicates two established methods measuring amyloid, decrease cerebrospinal fluid (CSF) β
Abstract The introduction of mild cognitive impairment (MCI) as a diagnostic category adds to the challenges diagnosing Alzheimer’s Disease (AD). No single marker has been proven accurately categorize patients into their respective groups. Thus, previous studies have attempted develop fused predictors AD and MCI. These two main limitations. Most do not simultaneously consider all categories provide suboptimal representations using same set modalities for prediction classes. In this work, we...
Background: AD is manifested by a gradually increasing impairment in cognitive functions and neurononal synaptic loss with presence of senile plaques. Vitamin D has function neurotrophy, neurotransmission, neuroprotection, neuroplasticity, its deficiency share the pathogenesis dementia development. Serum albumin an important human plasma protein considered as vital way for amyloid β declaration system it binds from about 90% to 95% blood. The goal this work detect if there relationship...
Background: Gestational diabetes mellitus (GDM) is a significant public health issue in low- and middle-income countries (LMICs) like Pakistan, driven by urbanization, dietary shifts, socioeconomic disparities. It increases the risk of maternal neonatal complications influenced psychosocial cultural factors.Objective: To explore medical, psychosocial, factors impacting GDM management outcomes low-resource setting, using case study approach.Methods: A 30-year-old gravida 2, para 1 woman...