What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Statistics
- Artificial intelligence
His primary areas of study are Disease, Alzheimer's Disease Neuroimaging Initiative, Dementia, Internal medicine and Atrophy.
His Disease study incorporates themes from Cognition, Cerebrospinal fluid, Neuroscience and Magnetic resonance imaging.
Alzheimer’s Disease Neuroimaging Initiative interconnects Endocrinology, Apolipoprotein E and Neurodegeneration in the investigation of issues within Alzheimer's Disease Neuroimaging Initiative.
His Dementia research includes themes of Biomarker, Clinical trial and Neuroimaging.
His Neuroimaging research is multidisciplinary, incorporating perspectives in Hippocampal formation, Artificial intelligence and Pattern recognition.
His study in Internal medicine is interdisciplinary in nature, drawing from both Positron emission tomography and Oncology.
His most cited work include:
- Association of plasma neurofilament light with neurodegeneration in patients with Alzheimer disease (320 citations)
- BrainAGE in Mild Cognitive Impaired Patients: Predicting the Conversion to Alzheimer’s Disease (218 citations)
- CSF biomarkers of Alzheimer's disease concord with amyloid‐β PET and predict clinical progression: A study of fully automated immunoassays in BioFINDER and ADNI cohorts (181 citations)
What are the main themes of his work throughout his whole career to date?
Alzheimer’s Disease Neuroimaging Initiative mainly focuses on Disease, Neuroimaging, Internal medicine, Dementia and Cognition.
His Disease study combines topics in areas such as Cerebrospinal fluid and Neuroscience.
His Neuroimaging research focuses on subjects like Artificial intelligence, which are linked to Machine learning.
His research on Internal medicine frequently connects to adjacent areas such as Oncology.
His research integrates issues of Clinical trial and Cohort in his study of Oncology.
His Dementia research integrates issues from White matter, Risk factor, Clinical psychology and Cardiology.
He most often published in these fields:
- Disease (38.68%)
- Neuroimaging (39.01%)
- Internal medicine (34.55%)
What were the highlights of his more recent work (between 2020-2021)?
- Neuroimaging (39.01%)
- Disease (38.68%)
- Internal medicine (34.55%)
In recent papers he was focusing on the following fields of study:
Alzheimer’s Disease Neuroimaging Initiative mostly deals with Neuroimaging, Disease, Internal medicine, Dementia and Cognitive decline.
The Neuroimaging study combines topics in areas such as Alzheimer's disease, Alzheimer's Disease Neuroimaging Initiative, Magnetic resonance imaging, Positron emission tomography and Atrophy.
His work in Atrophy covers topics such as Neurodegeneration which are related to areas like Endocrinology.
His biological study spans a wide range of topics, including Genotype, Clinical trial and Cohort.
His work deals with themes such as Oncology and Cardiology, which intersect with Internal medicine.
The study incorporates disciplines such as Cognition, Neuroscience and Amyloidosis in addition to Cognitive decline.
Between 2020 and 2021, his most popular works were:
- Diagnostic performance and prediction of clinical progression of plasma phospho-tau181 in the Alzheimer's Disease Neuroimaging Initiative. (17 citations)
- Late-Life Depression Is Associated With Reduced Cortical Amyloid Burden: Findings From the Alzheimer’s Disease Neuroimaging Initiative Depression Project (9 citations)
- Longitudinal Cognitive and Biomarker Measurements Support a Unidirectional Pathway in Alzheimer's Disease Pathophysiology. (6 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Statistics
- Gene
The scientist’s investigation covers issues in Internal medicine, Dementia, Neuroimaging, Cognition and Disease.
While the research belongs to areas of Internal medicine, Alzheimer’s Disease Neuroimaging Initiative spends his time largely on the problem of Oncology, intersecting his research to questions surrounding Neuropathology.
His work investigates the relationship between Dementia and topics such as Clinical trial that intersect with problems in Cerebrospinal fluid.
His Neuroimaging research is multidisciplinary, relying on both Magnetic resonance imaging, Artificial intelligence, Positron emission tomography, Atrophy and Pattern recognition.
His Cognition study combines topics from a wide range of disciplines, such as Pathological, Framingham Risk Score, Temporal lobe and Bayesian multivariate linear regression.
His Disease research incorporates elements of Feature selection, Etiology and Neuropsychology.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
