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The Psychosocial Characteristics Associated with NSSI and Suicide Attempt of Youth Admitted to an In-patient Psychiatric Unit.

Journal of the Canadian Academy of Child and Adolescent Psychiatry = Journal de l'Academie canadienne de psychiatrie de l'enfant et de l'adolescent

Preyde M, Vanderkooy J, Chevalier P, Heintzman J, Warne A, Barrick K.
PMID: 24872825
J Can Acad Child Adolesc Psychiatry. 2014 May;23(2):100-10.

INTRODUCTION: The purpose of this study was to explore the prevalence of self-harm and the psychosocial factors associated with self-harming behaviours in youth admitted to an in-patient psychiatric unit.METHODS: Cross-sectional surveys of standardized measures were administered to youth and...

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Preyde M, Vanderkooy J, Chevalier P, et al. The Psychosocial Characteristics Associated with NSSI and Suicide Attempt of Youth Admitted to an In-patient Psychiatric Unit. J Can Acad Child Adolesc Psychiatry. 2014;23(2):100-10
Preyde, M., Vanderkooy, J., Chevalier, P., Heintzman, J., Warne, A., & Barrick, K. (2014). The Psychosocial Characteristics Associated with NSSI and Suicide Attempt of Youth Admitted to an In-patient Psychiatric Unit. Journal of the Canadian Academy of Child and Adolescent Psychiatry = Journal de l'Academie canadienne de psychiatrie de l'enfant et de l'adolescent, 23(2), 100-10.
Preyde, Michèle, et al. "The Psychosocial Characteristics Associated with NSSI and Suicide Attempt of Youth Admitted to an In-patient Psychiatric Unit." Journal of the Canadian Academy of Child and Adolescent Psychiatry = Journal de l'Academie canadienne de psychiatrie de l'enfant et de l'adolescent vol. 23,2 (2014): 100-10.
Preyde M, Vanderkooy J, Chevalier P, Heintzman J, Warne A, Barrick K. The Psychosocial Characteristics Associated with NSSI and Suicide Attempt of Youth Admitted to an In-patient Psychiatric Unit. J Can Acad Child Adolesc Psychiatry. 2014 May;23(2):100-10. PMID: 24872825; PMCID: PMC4032078.
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Use of standardised patients in the evaluation of a residency mood disorders curriculum: a brief report.

Mental health in family medicine

Kobus AM, Heintzman J, Garvin RD.
PMID: 24381654
Ment Health Fam Med. 2013 Jan;10(1):45-51.

Background and objectives The purpose of this paper is to describe the use of resident performance on an observed structured clinical examination (OSCE) as a tool to refine a mood disorders curriculum, and to disseminate a mood disorders OSCE...

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Kobus AM, Heintzman J, Garvin RD. Use of standardised patients in the evaluation of a residency mood disorders curriculum: a brief report. Ment Health Fam Med. 2013;10(1):45-51
Kobus, A. M., Heintzman, J., & Garvin, R. D. (2013). Use of standardised patients in the evaluation of a residency mood disorders curriculum: a brief report. Mental health in family medicine, 10(1), 45-51.
Kobus, A M, et al. "Use of standardised patients in the evaluation of a residency mood disorders curriculum: a brief report." Mental health in family medicine vol. 10,1 (2013): 45-51.
Kobus AM, Heintzman J, Garvin RD. Use of standardised patients in the evaluation of a residency mood disorders curriculum: a brief report. Ment Health Fam Med. 2013 Jan;10(1):45-51. PMID: 24381654; PMCID: PMC3822672.
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Varicella zoster virus pneumonitis and brainstem encephalitis without skin rash in an immunocompetent adult.

Open forum infectious diseases

Nandhagopal R, Khmeleva N, Jayakrishnan B, White T, Al Azri F, George J, Heintzman A, Al Zeedy K, Rorke-Adams L, Gujjar AR, Schmid DS, Al-Asmi A, Nagel MA, Jacob PC, Gilden D.
PMID: 25734134
Open Forum Infect Dis. 2014 Aug 06;1(2):ofu064. doi: 10.1093/ofid/ofu064. eCollection 2014 Sep.

Varicella zoster virus (VZV) pneumonitis and brainstem encephalitis developed in an immunocompetent adult without rash. Chest computed tomography exhibited nodularity; lung biopsy revealed multinucleated giant cells, Cowdry A inclusions, VZV antigen, and DNA. Varicella zoster virus central nervous system...

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Nandhagopal R, Khmeleva N, Jayakrishnan B, et al. Varicella zoster virus pneumonitis and brainstem encephalitis without skin rash in an immunocompetent adult. Open Forum Infect Dis. 2014;1(2):ofu064doi: 10.1093/ofid/ofu064.
Nandhagopal, R., Khmeleva, N., Jayakrishnan, B., White, T., Al Azri, F., George, J., Heintzman, A., Al Zeedy, K., Rorke-Adams, L., Gujjar, A. R., Schmid, D. S., Al-Asmi, A., Nagel, M. A., Jacob, P. C., & Gilden, D. (2014). Varicella zoster virus pneumonitis and brainstem encephalitis without skin rash in an immunocompetent adult. Open forum infectious diseases, 1(2), ofu064. https://doi.org/10.1093/ofid/ofu064
Nandhagopal, Ramachandiran, et al. "Varicella zoster virus pneumonitis and brainstem encephalitis without skin rash in an immunocompetent adult." Open forum infectious diseases vol. 1,2 (2014): ofu064. doi: https://doi.org/10.1093/ofid/ofu064
Nandhagopal R, Khmeleva N, Jayakrishnan B, White T, Al Azri F, George J, Heintzman A, Al Zeedy K, Rorke-Adams L, Gujjar AR, Schmid DS, Al-Asmi A, Nagel MA, Jacob PC, Gilden D. Varicella zoster virus pneumonitis and brainstem encephalitis without skin rash in an immunocompetent adult. Open Forum Infect Dis. 2014 Aug 06;1(2):ofu064. doi: 10.1093/ofid/ofu064. eCollection 2014 Sep. PMID: 25734134; PMCID: PMC4281813.
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Polarographic activity and electrolytic reduction of ferredoxin.

FEBS letters

Weitzman PD, Kennedy IR, Caldwell RA.
PMID: 11946037
FEBS Lett. 1971 Oct 01;17(2):241-244. doi: 10.1016/0014-5793(71)80155-2.

No abstract available.

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Weitzman PD, Kennedy IR, Caldwell RA. Polarographic activity and electrolytic reduction of ferredoxin. FEBS Lett. 1971;17(2):241-244doi: 10.1016/0014-5793(71)80155-2.
Weitzman, P. D., Kennedy, I. R., & Caldwell, R. A. (1971). Polarographic activity and electrolytic reduction of ferredoxin. FEBS letters, 17(2), 241-244. https://doi.org/10.1016/0014-5793(71)80155-2
Weitzman, P D.J., et al. "Polarographic activity and electrolytic reduction of ferredoxin." FEBS letters vol. 17,2 (1971): 241-244. doi: https://doi.org/10.1016/0014-5793(71)80155-2
Weitzman PD, Kennedy IR, Caldwell RA. Polarographic activity and electrolytic reduction of ferredoxin. FEBS Lett. 1971 Oct 01;17(2):241-244. doi: 10.1016/0014-5793(71)80155-2. PMID: 11946037.
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Regulation of alpha-ketoglutarate dehydrogenase activity in Acinetobacter.

FEBS letters

Weitzman PD.
PMID: 11946628
FEBS Lett. 1972 May 15;22(3):323-326. doi: 10.1016/0014-5793(72)80261-8.

No abstract available.

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Weitzman PD. Regulation of alpha-ketoglutarate dehydrogenase activity in Acinetobacter. FEBS Lett. 1972;22(3):323-326doi: 10.1016/0014-5793(72)80261-8.
Weitzman, P. D. (1972). Regulation of alpha-ketoglutarate dehydrogenase activity in Acinetobacter. FEBS letters, 22(3), 323-326. https://doi.org/10.1016/0014-5793(72)80261-8
Weitzman, P D.J.. "Regulation of alpha-ketoglutarate dehydrogenase activity in Acinetobacter." FEBS letters vol. 22,3 (1972): 323-326. doi: https://doi.org/10.1016/0014-5793(72)80261-8
Weitzman PD. Regulation of alpha-ketoglutarate dehydrogenase activity in Acinetobacter. FEBS Lett. 1972 May 15;22(3):323-326. doi: 10.1016/0014-5793(72)80261-8. PMID: 11946628.
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Regulation of citrate synthase activity by alpha-ketoglutarate. Metabolic and taxonomic significance.

FEBS letters

Weitzman PD, Dunmore P.
PMID: 11947025
FEBS Lett. 1969 Jun;3(4):265-267. doi: 10.1016/0014-5793(69)80154-7.

No abstract available.

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Weitzman PD, Dunmore P. Regulation of citrate synthase activity by alpha-ketoglutarate. Metabolic and taxonomic significance. FEBS Lett. 1969;3(4):265-267doi: 10.1016/0014-5793(69)80154-7.
Weitzman, P. D., & Dunmore, P. (1969). Regulation of citrate synthase activity by alpha-ketoglutarate. Metabolic and taxonomic significance. FEBS letters, 3(4), 265-267. https://doi.org/10.1016/0014-5793(69)80154-7
Weitzman, P D.J., and Dunmore, P. "Regulation of citrate synthase activity by alpha-ketoglutarate. Metabolic and taxonomic significance." FEBS letters vol. 3,4 (1969): 265-267. doi: https://doi.org/10.1016/0014-5793(69)80154-7
Weitzman PD, Dunmore P. Regulation of citrate synthase activity by alpha-ketoglutarate. Metabolic and taxonomic significance. FEBS Lett. 1969 Jun;3(4):265-267. doi: 10.1016/0014-5793(69)80154-7. PMID: 11947025.
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Response: Re: Patient-Provider Communication: Does Electronic Messaging Reduce Incoming Telephone Calls?.

Journal of the American Board of Family Medicine : JABFM

Fields S, Heintzman J, Rdesinski RE, Yamashita D, Marino M.
PMID: 28062827
J Am Board Fam Med. 2017 Jan 02;30(1):109-110. doi: 10.3122/jabfm.2017.01.160374.

No abstract available.

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Fields S, Heintzman J, Rdesinski RE, et al. Response: Re: Patient-Provider Communication: Does Electronic Messaging Reduce Incoming Telephone Calls?. J Am Board Fam Med. 2017;30(1):109-110doi: 10.3122/jabfm.2017.01.160374.
Fields, S., Heintzman, J., Rdesinski, R. E., Yamashita, D., & Marino, M. (2017). Response: Re: Patient-Provider Communication: Does Electronic Messaging Reduce Incoming Telephone Calls?. Journal of the American Board of Family Medicine : JABFM, 30(1), 109-110. https://doi.org/10.3122/jabfm.2017.01.160374
Fields, Scott, et al. "Response: Re: Patient-Provider Communication: Does Electronic Messaging Reduce Incoming Telephone Calls?." Journal of the American Board of Family Medicine : JABFM vol. 30,1 (2017): 109-110. doi: https://doi.org/10.3122/jabfm.2017.01.160374
Fields S, Heintzman J, Rdesinski RE, Yamashita D, Marino M. Response: Re: Patient-Provider Communication: Does Electronic Messaging Reduce Incoming Telephone Calls?. J Am Board Fam Med. 2017 Jan 02;30(1):109-110. doi: 10.3122/jabfm.2017.01.160374. PMID: 28062827.
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Sedimentary ancient DNA shows terrestrial plant richness continuously increased over the Holocene in northern Fennoscandia.

Science advances

Rijal DP, Heintzman PD, Lammers Y, Yoccoz NG, Lorberau KE, Pitelkova I, Goslar T, Murguzur FJA, Salonen JS, Helmens KF, Bakke J, Edwards ME, Alm T, Bråthen KA, Brown AG, Alsos IG.
PMID: 34330702
Sci Adv. 2021 Jul 30;7(31). doi: 10.1126/sciadv.abf9557. Print 2021 Jul.

The effects of climate change on species richness are debated but can be informed by the past. Here, we generated a sedimentary ancient DNA dataset covering 10 lakes and applied novel methods for data harmonization. We assessed the impact...

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Rijal DP, Heintzman PD, Lammers Y, et al. Sedimentary ancient DNA shows terrestrial plant richness continuously increased over the Holocene in northern Fennoscandia. Sci Adv. 2021;7(31)doi: 10.1126/sciadv.abf9557.
Rijal, D. P., Heintzman, P. D., Lammers, Y., Yoccoz, N. G., Lorberau, K. E., Pitelkova, I., Goslar, T., Murguzur, F. J. A., Salonen, J. S., Helmens, K. F., Bakke, J., Edwards, M. E., Alm, T., Bråthen, K. A., Brown, A. G., & Alsos, I. G. (2021). Sedimentary ancient DNA shows terrestrial plant richness continuously increased over the Holocene in northern Fennoscandia. Science advances, 7(31), . https://doi.org/10.1126/sciadv.abf9557
Rijal, Dilli P, et al. "Sedimentary ancient DNA shows terrestrial plant richness continuously increased over the Holocene in northern Fennoscandia." Science advances vol. 7,31 (2021). doi: https://doi.org/10.1126/sciadv.abf9557
Rijal DP, Heintzman PD, Lammers Y, Yoccoz NG, Lorberau KE, Pitelkova I, Goslar T, Murguzur FJA, Salonen JS, Helmens KF, Bakke J, Edwards ME, Alm T, Bråthen KA, Brown AG, Alsos IG. Sedimentary ancient DNA shows terrestrial plant richness continuously increased over the Holocene in northern Fennoscandia. Sci Adv. 2021 Jul 30;7(31). doi: 10.1126/sciadv.abf9557. Print 2021 Jul. PMID: 34330702; PMCID: PMC8324056.
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Advancing primary care with Artificial Intelligence and Machine Learning.

Healthcare (Amsterdam, Netherlands)

Yang Z, Silcox C, Sendak M, Rose S, Rehkopf D, Phillips R, Peterson L, Marino M, Maier J, Lin S, Liaw W, Kakadiaris IA, Heintzman J, Chu I, Bazemore A.
PMID: 34954571
Healthc (Amst). 2021 Dec 23;10(1):100594. doi: 10.1016/j.hjdsi.2021.100594. Epub 2021 Dec 23.

Primary care is the largest healthcare delivery platform in the US. Facing the Artificial Intelligence and Machine Learning technology (AI/ML) revolution, the primary care community would benefit from a roadmap revealing priority areas and opportunities for developing and integrating...

Cite
Yang Z, Silcox C, Sendak M, et al. Advancing primary care with Artificial Intelligence and Machine Learning. Healthc (Amst). 2021;10(1):100594doi: 10.1016/j.hjdsi.2021.100594.
Yang, Z., Silcox, C., Sendak, M., Rose, S., Rehkopf, D., Phillips, R., Peterson, L., Marino, M., Maier, J., Lin, S., Liaw, W., Kakadiaris, I. A., Heintzman, J., Chu, I., & Bazemore, A. (2021). Advancing primary care with Artificial Intelligence and Machine Learning. Healthcare (Amsterdam, Netherlands), 10(1), 100594. https://doi.org/10.1016/j.hjdsi.2021.100594
Yang, Zhou, et al. "Advancing primary care with Artificial Intelligence and Machine Learning." Healthcare (Amsterdam, Netherlands) vol. 10,1 (2021): 100594. doi: https://doi.org/10.1016/j.hjdsi.2021.100594
Yang Z, Silcox C, Sendak M, Rose S, Rehkopf D, Phillips R, Peterson L, Marino M, Maier J, Lin S, Liaw W, Kakadiaris IA, Heintzman J, Chu I, Bazemore A. Advancing primary care with Artificial Intelligence and Machine Learning. Healthc (Amst). 2021 Dec 23;10(1):100594. doi: 10.1016/j.hjdsi.2021.100594. Epub 2021 Dec 23. PMID: 34954571.
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MTHFD2 is a metabolic checkpoint controlling effector and regulatory T cell fate and function.

Immunity

Sugiura A, Andrejeva G, Voss K, Heintzman DR, Xu X, Madden MZ, Ye X, Beier KL, Chowdhury NU, Wolf MM, Young AC, Greenwood DL, Sewell AE, Shahi SK, Freedman SN, Cameron AM, Foerch P, Bourne T, Garcia-Canaveras JC, Karijolich J, Newcomb DC, Mangalam AK, Rabinowitz JD, Rathmell JC.
PMID: 34767747
Immunity. 2022 Jan 11;55(1):65-81.e9. doi: 10.1016/j.immuni.2021.10.011. Epub 2021 Nov 11.

Antigenic stimulation promotes T cell metabolic reprogramming to meet increased biosynthetic, bioenergetic, and signaling demands. We show that the one-carbon (1C) metabolism enzyme methylenetetrahydrofolate dehydrogenase 2 (MTHFD2) regulates de novo purine synthesis and signaling in activated T cells to...

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Sugiura A, Andrejeva G, Voss K, et al. MTHFD2 is a metabolic checkpoint controlling effector and regulatory T cell fate and function. Immunity. 2021;55(1):65-81.e9doi: 10.1016/j.immuni.2021.10.011.
Sugiura, A., Andrejeva, G., Voss, K., Heintzman, D. R., Xu, X., Madden, M. Z., Ye, X., Beier, K. L., Chowdhury, N. U., Wolf, M. M., Young, A. C., Greenwood, D. L., Sewell, A. E., Shahi, S. K., Freedman, S. N., Cameron, A. M., Foerch, P., Bourne, T., Garcia-Canaveras, J. C., Karijolich, J., Newcomb, D. C., Mangalam, A. K., Rabinowitz, J. D., & Rathmell, J. C. (2022). MTHFD2 is a metabolic checkpoint controlling effector and regulatory T cell fate and function. Immunity, 55(1), 65-81.e9. https://doi.org/10.1016/j.immuni.2021.10.011
Sugiura, Ayaka, et al. "MTHFD2 is a metabolic checkpoint controlling effector and regulatory T cell fate and function." Immunity vol. 55,1 (2022): 65-81.e9. doi: https://doi.org/10.1016/j.immuni.2021.10.011
Sugiura A, Andrejeva G, Voss K, Heintzman DR, Xu X, Madden MZ, Ye X, Beier KL, Chowdhury NU, Wolf MM, Young AC, Greenwood DL, Sewell AE, Shahi SK, Freedman SN, Cameron AM, Foerch P, Bourne T, Garcia-Canaveras JC, Karijolich J, Newcomb DC, Mangalam AK, Rabinowitz JD, Rathmell JC. MTHFD2 is a metabolic checkpoint controlling effector and regulatory T cell fate and function. Immunity. 2022 Jan 11;55(1):65-81.e9. doi: 10.1016/j.immuni.2021.10.011. Epub 2021 Nov 11. PMID: 34767747; PMCID: PMC8755618.
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Advancing primary care with Artificial Intelligence and Machine Learning.

Healthcare (Amsterdam, Netherlands)

Yang Z, Silcox C, Sendak M, Rose S, Rehkopf D, Phillips R, Peterson L, Marino M, Maier J, Lin S, Liaw W, Kakadiaris IA, Heintzman J, Chu I, Bazemore A.
PMID: 34954571
Healthc (Amst). 2021 Dec 23;10(1):100594. doi: 10.1016/j.hjdsi.2021.100594. Epub 2021 Dec 23.

Primary care is the largest healthcare delivery platform in the US. Facing the Artificial Intelligence and Machine Learning technology (AI/ML) revolution, the primary care community would benefit from a roadmap revealing priority areas and opportunities for developing and integrating...

Cite
Yang Z, Silcox C, Sendak M, et al. Advancing primary care with Artificial Intelligence and Machine Learning. Healthc (Amst). 2021;10(1):100594doi: 10.1016/j.hjdsi.2021.100594.
Yang, Z., Silcox, C., Sendak, M., Rose, S., Rehkopf, D., Phillips, R., Peterson, L., Marino, M., Maier, J., Lin, S., Liaw, W., Kakadiaris, I. A., Heintzman, J., Chu, I., & Bazemore, A. (2021). Advancing primary care with Artificial Intelligence and Machine Learning. Healthcare (Amsterdam, Netherlands), 10(1), 100594. https://doi.org/10.1016/j.hjdsi.2021.100594
Yang, Zhou, et al. "Advancing primary care with Artificial Intelligence and Machine Learning." Healthcare (Amsterdam, Netherlands) vol. 10,1 (2021): 100594. doi: https://doi.org/10.1016/j.hjdsi.2021.100594
Yang Z, Silcox C, Sendak M, Rose S, Rehkopf D, Phillips R, Peterson L, Marino M, Maier J, Lin S, Liaw W, Kakadiaris IA, Heintzman J, Chu I, Bazemore A. Advancing primary care with Artificial Intelligence and Machine Learning. Healthc (Amst). 2021 Dec 23;10(1):100594. doi: 10.1016/j.hjdsi.2021.100594. Epub 2021 Dec 23. PMID: 34954571.
Copy Download .nbib Format: NLM
Advancing primary care with Artificial Intelligence and Machine Learning.

Healthcare (Amsterdam, Netherlands)

Yang Z, Silcox C, Sendak M, Rose S, Rehkopf D, Phillips R, Peterson L, Marino M, Maier J, Lin S, Liaw W, Kakadiaris IA, Heintzman J, Chu I, Bazemore A.
PMID: 34954571
Healthc (Amst). 2021 Dec 23;10(1):100594. doi: 10.1016/j.hjdsi.2021.100594. Epub 2021 Dec 23.

Primary care is the largest healthcare delivery platform in the US. Facing the Artificial Intelligence and Machine Learning technology (AI/ML) revolution, the primary care community would benefit from a roadmap revealing priority areas and opportunities for developing and integrating...

Cite
Yang Z, Silcox C, Sendak M, et al. Advancing primary care with Artificial Intelligence and Machine Learning. Healthc (Amst). 2021;10(1):100594doi: 10.1016/j.hjdsi.2021.100594.
Yang, Z., Silcox, C., Sendak, M., Rose, S., Rehkopf, D., Phillips, R., Peterson, L., Marino, M., Maier, J., Lin, S., Liaw, W., Kakadiaris, I. A., Heintzman, J., Chu, I., & Bazemore, A. (2021). Advancing primary care with Artificial Intelligence and Machine Learning. Healthcare (Amsterdam, Netherlands), 10(1), 100594. https://doi.org/10.1016/j.hjdsi.2021.100594
Yang, Zhou, et al. "Advancing primary care with Artificial Intelligence and Machine Learning." Healthcare (Amsterdam, Netherlands) vol. 10,1 (2021): 100594. doi: https://doi.org/10.1016/j.hjdsi.2021.100594
Yang Z, Silcox C, Sendak M, Rose S, Rehkopf D, Phillips R, Peterson L, Marino M, Maier J, Lin S, Liaw W, Kakadiaris IA, Heintzman J, Chu I, Bazemore A. Advancing primary care with Artificial Intelligence and Machine Learning. Healthc (Amst). 2021 Dec 23;10(1):100594. doi: 10.1016/j.hjdsi.2021.100594. Epub 2021 Dec 23. PMID: 34954571.
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Showing 1 to 12 of 60 entries