Section of Neuroinfectious Disease

Our Team

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Beau Ances, MD, PhD

Daniel J. Brennan, MD, Professor of Neurology
Adult, Neuroinfectious Diseases
Vice Chair of Academic Affairs

• Phone: 314-747-8423

  Ances lab

 

Top areas of adult care: HIV, COVID, Creutzfeldt-Jakob disease

David Clifford, MD

Professor of Neurology
Chief, Adult Neuroinfectious Diseases
Melba and Forest Seay Professor of Clinical Neuropharmacology in Neurology

• Phone: 314-747-8423

 

Top areas of adult care: neurosarcoidosis, HIV, progressive multifocal leukoencephalopathy

Steven Dunham, MD

Assistant Professor of Neurology
Adult, Neuroinfectious Disease

• Phone: 314-747-8423

 

Top areas of adult care: autoimmune encephalitis, HIV, neurosarcoidosis

Karin Meeker, PhD

Instructor, Neurology (PDA)

Peter Millar, PhD

Instructor in Neurology

Jeremy Strain, PhD

Assistant Professor of Neurology
Adult, Neuroinfectious Diseases

Mengesha Teshome, MD

Assistant Professor, Neurology

Research

Recent publications

• Impact of Integrase Strand Transfer Inhibitors on Cognition in the HAILO Cohort
  December 15, 2023
  Impact of Integrase Strand Transfer Inhibitors on Cognition in the HAILO CohortACTG A5322 Study Team, Dec 15 2023, In: Journal of acquired immune deficiency syndromes (1999). 94, 5, p. 437-444 8 p.Research output: Contribution to journal › Article › peer-review
• Prognostic relevance of gait-related cognitive functions for dementia conversion in amnestic mild cognitive impairment
  December 1, 2023
  Prognostic relevance of gait-related cognitive functions for dementia conversion in amnestic mild cognitive impairmentthe Alzheimer's Disease Neuroimaging Initiative, Dec 2023, In: BMC Geriatrics. 23, 1, 462.Research output: Contribution to journal › Article › peer-review
• Author Correction: Predicting Alzheimer’s disease progression using multi-modal deep learning approach (Scientific Reports, (2019), 9, 1, (1952), 10.1038/s41598-018-37769-z)
  December 1, 2023
  Author Correction: Predicting Alzheimer’s disease progression using multi-modal deep learning approach (Scientific Reports, (2019), 9, 1, (1952), 10.1038/s41598-018-37769-z)Lee, G., Nho, K., Kang, B., Sohn, K. A., Kim, D., Weiner, M. W., Aisen, P., Petersen, R., Jack, C. R., Jagust, W., Trojanowki, J. Q., Toga, A. W., Beckett, L., Green, R. C., Saykin, A. J., Morris, J., Shaw, L. M., Khachaturian, Z., Sorensen, G., Carrillo, M., & 294 othersKuller, L., Raichle, M., Paul, S., Davies, P., Fillit, H., Hefti, F., Holtzman, D., Mesulam, M. M., Potter, W., Snyder, P., Montine, T., Thomas, R. G., Donohue, M., Walter, S., Sather, T., Jiminez, […]
• Circular-SWAT for deep learning based diagnostic classification of Alzheimer's disease: application to metabolome data
  November 1, 2023
  Circular-SWAT for deep learning based diagnostic classification of Alzheimer's disease: application to metabolome dataAlzheimer's Disease Metabolomics Consortium (ADMC) & Alzheimer’s Disease Neuroimaging Initiative (ADNI), Nov 2023, In: EBioMedicine. 97, 104820.Research output: Contribution to journal › Article › peer-review
• Antiretroviral therapy intensification for HIV-associated neurocognitive disorder?
  November 1, 2023
  Antiretroviral therapy intensification for HIV-associated neurocognitive disorder?Brew, B. J. & Clifford, D. B., Nov 1 2023, In: AIDS. 37, 13, p. 2095-2096 2 p.Research output: Contribution to journal › Comment/debate