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Draft:John F. Crary

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  • Comment: Content like “pioneered the use of convolutional neural networks” “significantly advancing digital neuropathology” “His work has continued to influence the field significantly” is just unsourced self promotional puffery. Theroadislong (talk) 14:37, 11 May 2024 (UTC)
  • Comment: You appear to have a fundamental misunderstanding of how Wikipedia works, ALL content needs to be verified by the sources Theroadislong (talk) 13:45, 11 May 2024 (UTC)


John F. Crary, MD-PhD
Born1973 (age 50–51)
New York, New York, U.S.
Alma materBrown University, SUNY Downstate Medical Center, Columbia University Medical Center
Known forStudy of tauopathy
Scientific career
FieldsNeuropathology
InstitutionsIcahn School of Medicine at Mount Sinai

John F. Crary, MD-PhD (born 1973) is an American neuropathologist and experimental neurobiologist. He is a full professor with tenure at the Icahn School of Medicine at Mount Sinai where he founded and co-directs the Neuropathology Brain Bank & Research CoRE.[1]

Early life and education edit

John F. Crary was born in New York City and raised in Brooklyn. He attended Saint Ann's School. His father, Calvert D. Crary, was a Wall Street analyst specializing in litigation and biotechnology.[2] Crary pursued his undergraduate studies at Brown University, majoring in neuroscience.

Career edit

Crary underwent his MD-PhD training at SUNY Downstate graduating in 2006 as a commencement speaker at Carnegie Hall.[3][failed verification] His thesis work focused on PKMzeta in Alzheimer's disease under the mentorship of two leading neuroscientists: Dr. Todd Sacktor, MD, known for his discovery of PKMzeta,[4] and Suzanne Mirra, MD who devised the CERAD criteria for the neuropathological diagnosis of Alzheimer's disease.[5] He completed his anatomical and neuropathology residency and fellowship at Columbia University, where he was mentored by Michael Shelanski, MD-PhD. There, he studied "tangle-only" dementia which led to the characterization of primary age-related tauopathy (PART),[6] which received some attention at the time.[7] The proposal that PART is a unique subgroup of dementia patients distinct from Alzheimer's Disease was highly controversial,[8] and still remains a highly researched topic.[9] The original description of PART has now been cited 1323 times as of May of 2024 according to Google Scholar.

In 2014, Crary moved to the Icahn School of Medicine at Mount Sinai, establishing a new laboratory and brain bank focused on movement disorders and chronic traumatic encephalopathy.[10] Crary is a frequent invited lecturer at various institutions including the New York Academy of the Sciences[11], the American Association of Neuropathologists[12], and others.

Research and contributions to diagnostic neuropathology edit

Dr. Crary has led efforts to define post-mortem diagnostic criteria for various tauopathies. This includes primary age-related tauopathy,[13] aging-related tau astrogliopathy,[14] chronic traumatic encephalopathy,[15][16] and progressive supranuclear palsy.[17] He also contributed substantially to understanding the neurological consequences of neuroinfectious diseases such as HIV[18] and SARS-CoV-2.[19]

 
Early neurofibrillary tangles in the entorhinal cortex of a subject with primary age-related tauopathy (PART), which was described by Crary et al., in 2014[20]

His genetic studies of on PART [21] and PSP have received considerable attention.[22]

Digital neuropathology and machine learning edit

Crary was the first to apply artificial intelligence / machine learning techniques to the histomorphological assessment of neurodegeneration in human brain digital whole slide images of autopsy brain tissues.[23] He has pioneered the use of convolutional neural networks for analyzing whole slide images from dementia patients. Dr. Crary developed an AI/ML algorithm capable of obtaining a pre-mortem tissue diagnosis of Parkinson's disease.[24] Dr. Crary's team was the first to apply convolutional neural networks to assessing tau pathology.[25][26] The Crary lab showed that deep learning algorithms can predict cognitive function[27]. Using multiple instance learning, Dr. Crary's team developed an approach to measuring brain aging, termed HistoAge[28], an approach that may help advancing our understanding of age-acceleration.[29]

Awards and recognition edit

He is an editor of Acta Neuropathologica[30] and Free Neuropathology.[31]

References edit

  1. ^ "How Innovative Technology Is Expanding Our Scientists' Access to Human Brain Tissue". The Friedman Brain Institute Spring 2024 Newsletter. Icahn School of Medicine at Mount Sinai. Retrieved 11 May 2024.
  2. ^ Arnold, Laurence. "Calvert Crary, Wall Street Eye on Corporate Lawsuits, Dies at 69". Bloomberg News. Bloomberg. Retrieved 11 May 2024.
  3. ^ "SUNY Downstate Class of 2006 Commencement". SUNY Connect. SUNY Downstate. 25 May 2006. Retrieved 11 May 2024.
  4. ^ Pastalkova, E; Serrano, P; Pinkhasova, D; Wallace, E; Fenton, AA; Sacktor, TC (25 August 2006). "Storage of spatial information by the maintenance mechanism of LTP". Science (New York, N.Y.). 313 (5790): 1141–4. Bibcode:2006Sci...313.1141P. doi:10.1126/science.1128657. PMID 16931766.
  5. ^ Mirra, SS; Heyman, A; McKeel, D; Sumi, SM; Crain, BJ; Brownlee, LM; Vogel, FS; Hughes, JP; van Belle, G; Berg, L (April 1991). "The Consortium to Establish a Registry for Alzheimer's Disease (CERAD). Part II. Standardization of the neuropathologic assessment of Alzheimer's disease". Neurology. 41 (4): 479–86. doi:10.1212/wnl.41.4.479. PMID 2011243.
  6. ^ Crary, JF; Trojanowski, JQ; Schneider, JA; Abisambra, JF; Abner, EL; Alafuzoff, I; Arnold, SE; Attems, J; Beach, TG; Bigio, EH; Cairns, NJ; Dickson, DW; Gearing, M; Grinberg, LT; Hof, PR; Hyman, BT; Jellinger, K; Jicha, GA; Kovacs, GG; Knopman, DS; Kofler, J; Kukull, WA; Mackenzie, IR; Masliah, E; McKee, A; Montine, TJ; Murray, ME; Neltner, JH; Santa-Maria, I; Seeley, WW; Serrano-Pozo, A; Shelanski, ML; Stein, T; Takao, M; Thal, DR; Toledo, JB; Troncoso, JC; Vonsattel, JP; White CL, 3rd; Wisniewski, T; Woltjer, RL; Yamada, M; Nelson, PT (December 2014). "Primary age-related tauopathy (PART): a common pathology associated with human aging". Acta Neuropathologica. 128 (6): 755–66. doi:10.1007/s00401-014-1349-0. PMC 4257842. PMID 25348064.{{cite journal}}: CS1 maint: numeric names: authors list (link)
  7. ^ "New Alzheimer's Related Memory Disorder Identified". Neuroscience News. Neuroscience News. November 13, 2014. Retrieved 11 May 2024.
  8. ^ Duyckaerts, C; Braak, H; Brion, JP; Buée, L; Del Tredici, K; Goedert, M; Halliday, G; Neumann, M; Spillantini, MG; Tolnay, M; Uchihara, T (May 2015). "PART is part of Alzheimer disease". Acta Neuropathologica. 129 (5): 749–56. doi:10.1007/s00401-015-1390-7. PMC 4405349. PMID 25628035.
  9. ^ Hickman, RA; Flowers, XE; Wisniewski, T (14 July 2020). "Primary Age-Related Tauopathy (PART): Addressing the Spectrum of Neuronal Tauopathic Changes in the Aging Brain". Current Neurology and Neuroscience Reports. 20 (9): 39. doi:10.1007/s11910-020-01063-1. PMC 7849162. PMID 32666342.
  10. ^ "How Innovative Technology Is Expanding Our Scientists' Access to Human Brain Tissue". The Friedman Brain Institute Spring 2024 Newsletter. Icahn School of Medicine at Mount Sinai. Retrieved 11 May 2024.
  11. ^ "The Academy Blog". The New Wave of AI in Healthcare. New York Academy of Sciences. 25 May 2023. Retrieved 11 May 2024.
  12. ^ "AANP Teaching Rounds". Neuropath.org. American Association of Neuropathologists. Retrieved 11 May 2024.
  13. ^ Crary, JF; Trojanowski, JQ; Schneider, JA; Abisambra, JF; Abner, EL; Alafuzoff, I; Arnold, SE; Attems, J; Beach, TG; Bigio, EH; Cairns, NJ; Dickson, DW; Gearing, M; Grinberg, LT; Hof, PR; Hyman, BT; Jellinger, K; Jicha, GA; Kovacs, GG; Knopman, DS; Kofler, J; Kukull, WA; Mackenzie, IR; Masliah, E; McKee, A; Montine, TJ; Murray, ME; Neltner, JH; Santa-Maria, I; Seeley, WW; Serrano-Pozo, A; Shelanski, ML; Stein, T; Takao, M; Thal, DR; Toledo, JB; Troncoso, JC; Vonsattel, JP; White CL, 3rd; Wisniewski, T; Woltjer, RL; Yamada, M; Nelson, PT (December 2014). "Primary age-related tauopathy (PART): a common pathology associated with human aging". Acta Neuropathologica. 128 (6): 755–66. doi:10.1007/s00401-014-1349-0. PMC 4257842. PMID 25348064.{{cite journal}}: CS1 maint: numeric names: authors list (link)
  14. ^ Kovacs, GG; Ferrer, I; Grinberg, LT; Alafuzoff, I; Attems, J; Budka, H; Cairns, NJ; Crary, JF; Duyckaerts, C; Ghetti, B; Halliday, GM; Ironside, JW; Love, S; Mackenzie, IR; Munoz, DG; Murray, ME; Nelson, PT; Takahashi, H; Trojanowski, JQ; Ansorge, O; Arzberger, T; Baborie, A; Beach, TG; Bieniek, KF; Bigio, EH; Bodi, I; Dugger, BN; Feany, M; Gelpi, E; Gentleman, SM; Giaccone, G; Hatanpaa, KJ; Heale, R; Hof, PR; Hofer, M; Hortobágyi, T; Jellinger, K; Jicha, GA; Ince, P; Kofler, J; Kövari, E; Kril, JJ; Mann, DM; Matej, R; McKee, AC; McLean, C; Milenkovic, I; Montine, TJ; Murayama, S; Lee, EB; Rahimi, J; Rodriguez, RD; Rozemüller, A; Schneider, JA; Schultz, C; Seeley, W; Seilhean, D; Smith, C; Tagliavini, F; Takao, M; Thal, DR; Toledo, JB; Tolnay, M; Troncoso, JC; Vinters, HV; Weis, S; Wharton, SB; White CL, 3rd; Wisniewski, T; Woulfe, JM; Yamada, M; Dickson, DW (January 2016). "Aging-related tau astrogliopathy (ARTAG): harmonized evaluation strategy". Acta Neuropathologica. 131 (1): 87–102. doi:10.1007/s00401-015-1509-x. PMC 4879001. PMID 26659578.{{cite journal}}: CS1 maint: numeric names: authors list (link)
  15. ^ McKee, AC; Cairns, NJ; Dickson, DW; Folkerth, RD; Keene, CD; Litvan, I; Perl, DP; Stein, TD; Vonsattel, JP; Stewart, W; Tripodis, Y; Crary, JF; Bieniek, KF; Dams-O'Connor, K; Alvarez, VE; Gordon, WA; TBI/CTE, group (January 2016). "The first NINDS/NIBIB consensus meeting to define neuropathological criteria for the diagnosis of chronic traumatic encephalopathy". Acta Neuropathologica. 131 (1): 75–86. doi:10.1007/s00401-015-1515-z. PMC 4698281. PMID 26667418.
  16. ^ Bieniek, KF; Cairns, NJ; Crary, JF; Dickson, DW; Folkerth, RD; Keene, CD; Litvan, I; Perl, DP; Stein, TD; Vonsattel, JP; Stewart, W; Dams-O'Connor, K; Gordon, WA; Tripodis, Y; Alvarez, VE; Mez, J; Alosco, ML; McKee, AC; TBI/CTE Research, Group (22 February 2021). "The Second NINDS/NIBIB Consensus Meeting to Define Neuropathological Criteria for the Diagnosis of Chronic Traumatic Encephalopathy". Journal of Neuropathology and Experimental Neurology. 80 (3): 210–219. doi:10.1093/jnen/nlab001. PMC 7899277. PMID 33611507.
  17. ^ Roemer, SF; Grinberg, LT; Crary, JF; Seeley, WW; McKee, AC; Kovacs, GG; Beach, TG; Duyckaerts, C; Ferrer, IA; Gelpi, E; Lee, EB; Revesz, T; White CL, 3rd; Yoshida, M; Pereira, FL; Whitney, K; Ghayal, NB; Dickson, DW (October 2022). "Rainwater Charitable Foundation criteria for the neuropathologic diagnosis of progressive supranuclear palsy". Acta Neuropathologica. 144 (4): 603–614. doi:10.1007/s00401-022-02479-4. PMC 9468104. PMID 35947184.{{cite journal}}: CS1 maint: numeric names: authors list (link)
  18. ^ Morgello, S; Cortes, EP; Gensler, G; Meloni, G; Jacobs, MM; Murray, J; Borukov, V; Crary, JF (15 July 2021). "HIV disease duration, but not active brain infection, predicts cortical amyloid beta deposition". AIDS (London, England). 35 (9): 1403–1412. doi:10.1097/QAD.0000000000002893. PMC 8243827. PMID 33813555.
  19. ^ Troxel, AB; Bind, MC; Flotte, TJ; Cordon-Cardo, C; Decker, LA; Finn, AV; Padera, RF; Reichard, RR; Stone, JR; Adolphi, NL; Casimero, FVC; Crary, JF; Elifritz, J; Faustin, A; Ghosh, SKB; Krausert, A; Martinez-Lage, M; Melamed, J; Mitchell RA, Jr; Sampson, BA; Seifert, AC; Simsir, A; Adams, C; Haasnoot, S; Hafner, S; Siciliano, MA; Vallejos, BB; Del Boccio, P; Lamendola-Essel, MF; Young, CE; Kewlani, D; Akinbo, PA; Parent, B; Chung, A; Cato, TC; Mudumbi, PC; Esquenazi-Karonika, S; Wood, MJ; Chan, J; Monteiro, J; Shinnick, DJ; Thaweethai, T; Nguyen, AN; Fitzgerald, ML; Perlowski, AA; Stiles, LE; Paskett, ML; Katz, SD; Foulkes, AS; RECOVER Initiative Autopsy, Group (2024). "Researching COVID to enhance recovery (RECOVER) tissue pathology study protocol: Rationale, objectives, and design". PLOS ONE. 19 (1): e0285645. Bibcode:2024PLoSO..1985645T. doi:10.1371/journal.pone.0285645. PMC 10781091. PMID 38198481.
  20. ^ Crary, John F.; Trojanowski, John Q.; Schneider, Julie A.; Abisambra, Jose F.; Abner, Erin L.; Alafuzoff, Irina; Arnold, Steven E.; Attems, Johannes; Beach, Thomas G.; Bigio, Eileen H.; Cairns, Nigel J.; Dickson, Dennis W.; Gearing, Marla; Grinberg, Lea T.; Hof, Patrick R.; Hyman, Bradley T.; Jellinger, Kurt; Jicha, Gregory A.; Kovacs, Gabor G.; Knopman, David S.; Kofler, Julia; Kukull, Walter A.; Mackenzie, Ian R.; Masliah, Eliezer; McKee, Ann; Montine, Thomas J.; Murray, Melissa E.; Neltner, Janna H.; Santa-Maria, Ismael; Seeley, William W.; Serrano-Pozo, Alberto; Shelanski, Michael L.; Stein, Thor; Takao, Masaki; Thal, Dietmar R.; Toledo, Jonathan B.; Troncoso, Juan C.; Vonsattel, Jean Paul; White, Charles L.; Wisniewski, Thomas; Woltjer, Randall L.; Yamada, Masahito; Nelson, Peter T. (December 2014). "Primary age-related tauopathy (PART): a common pathology associated with human aging". Acta Neuropathologica. 128 (6): 755–766. doi:10.1007/s00401-014-1349-0. PMC 4257842. PMID 25348064.
  21. ^ Rogers, Madolyn Bowman (November 13, 2021). "First GWAS of Primary Age-Related Tauopathy Digs Up JADE". Alzforum. Retrieved 11 May 2024.
  22. ^ Shugart, Jessica (17 Nov 2023). "In Progressive Supranuclear Palsy, Risk Loci Converge on Oligodendrocytes". Alzforum. Retrieved 11 May 2024.
  23. ^ "The Future of Digital Neuropathology and the Role of AI". NeurologyLive. HCP Live Network. May 6, 2022. Retrieved 11 May 2024.
  24. ^ "PreciseDx's AI Morphology Feature Array for Detecting Parkinson Disease Pathology". HCP Live Network. Neurology Live. May 5, 2022. Retrieved 11 May 2024.
  25. ^ Signaevsky, M; Prastawa, M; Farrell, K; Tabish, N; Baldwin, E; Han, N; Iida, MA; Koll, J; Bryce, C; Purohit, D; Haroutunian, V; McKee, AC; Stein, TD; White CL, 3rd; Walker, J; Richardson, TE; Hanson, R; Donovan, MJ; Cordon-Cardo, C; Zeineh, J; Fernandez, G; Crary, JF (July 2019). "Artificial intelligence in neuropathology: deep learning-based assessment of tauopathy". Laboratory Investigation; A Journal of Technical Methods and Pathology. 99 (7): 1019–1029. doi:10.1038/s41374-019-0202-4. PMC 7684013. PMID 30770886.{{cite journal}}: CS1 maint: numeric names: authors list (link)
  26. ^ Marx, GA; Koenigsberg, DG; McKenzie, AT; Kauffman, J; Hanson, RW; Whitney, K; Signaevsky, M; Prastawa, M; Iida, MA; White CL, 3rd; Walker, JM; Richardson, TE; Koll, J; Fernandez, G; Zeineh, J; Cordon-Cardo, C; Crary, JF; Farrell, K; PART working, group (31 October 2022). "Artificial intelligence-derived neurofibrillary tangle burden is associated with antemortem cognitive impairment". Acta Neuropathologica Communications. 10 (1): 157. doi:10.1186/s40478-022-01457-x. PMC 9620665. PMID 36316708.{{cite journal}}: CS1 maint: numeric names: authors list (link)
  27. ^ McKenzie, AT; Marx, GA; Koenigsberg, D; Sawyer, M; Iida, MA; Walker, JM; Richardson, TE; Campanella, G; Attems, J; McKee, AC; Stein, TD; Fuchs, TJ; White CL, 3rd; PART working, group; Farrell, K; Crary, JF (21 September 2022). "Interpretable deep learning of myelin histopathology in age-related cognitive impairment". Acta Neuropathologica Communications. 10 (1): 131. doi:10.1186/s40478-022-01425-5. PMC 9490907. PMID 36127723.{{cite journal}}: CS1 maint: numeric names: authors list (link)
  28. ^ Marx, GA; Kauffman, J; McKenzie, AT; Koenigsberg, DG; McMillan, CT; Morgello, S; Karlovich, E; Insausti, R; Richardson, TE; Walker, JM; White CL, 3rd; Babrowicz, BM; Shen, L; McKee, AC; Stein, TD; PART Working, Group; Farrell, K; Crary, JF (December 2023). "Histopathologic brain age estimation via multiple instance learning". Acta Neuropathologica. 146 (6): 785–802. doi:10.1007/s00401-023-02636-3. PMC 10627911. PMID 37815677.{{cite journal}}: CS1 maint: numeric names: authors list (link)
  29. ^ "AI Uncovers Secrets of Brain Aging". October 10, 2023. Retrieved 11 May 2024.
  30. ^ "Acta Neuropathologica". SpringerLink. SpringerNature. Retrieved 11 May 2024.
  31. ^ "Free Neuropathology". Free Neuropathology. Retrieved 11 May 2024.
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