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Showing 1 to 12 of 18 entries
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Knowledge of Neonatal Hyperbilirubinemia Among Primary Health Care Physicians: A Single-Center Experience.

Clinical medicine insights. Pediatrics

Mostafa MA, Kamal NM, Eltaher S, Hamed Y, Abdelaziz H, Abdelghany W, Aser E, Fawzy E, Sherief LM.
PMID: 30853790
Clin Med Insights Pediatr. 2019 Mar 03;13:1179556518824375. doi: 10.1177/1179556518824375. eCollection 2019.

BACKGROUND AND OBJECTIVES: To evaluate the knowledge of the primary health care physicians (PHCP) in Kalubia governorate, Egypt, about the causes, diagnosis, complications, and treatment of neonatal hyperbilirubinemia (NHB).METHODS: Cross-sectional survey distributed by interview to 500 physicians working in...

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Mostafa MA, Kamal NM, Eltaher S, et al. Knowledge of Neonatal Hyperbilirubinemia Among Primary Health Care Physicians: A Single-Center Experience. Clin Med Insights Pediatr. 2019;13:1179556518824375doi: 10.1177/1179556518824375.
Mostafa, M. A., Kamal, N. M., Eltaher, S., Hamed, Y., Abdelaziz, H., Abdelghany, W., Aser, E., Fawzy, E., & Sherief, L. M. (2019). Knowledge of Neonatal Hyperbilirubinemia Among Primary Health Care Physicians: A Single-Center Experience. Clinical medicine insights. Pediatrics, 131179556518824375. https://doi.org/10.1177/1179556518824375
Mostafa, Mostafa A, et al. "Knowledge of Neonatal Hyperbilirubinemia Among Primary Health Care Physicians: A Single-Center Experience." Clinical medicine insights. Pediatrics vol. 13 (2019): 1179556518824375. doi: https://doi.org/10.1177/1179556518824375
Mostafa MA, Kamal NM, Eltaher S, Hamed Y, Abdelaziz H, Abdelghany W, Aser E, Fawzy E, Sherief LM. Knowledge of Neonatal Hyperbilirubinemia Among Primary Health Care Physicians: A Single-Center Experience. Clin Med Insights Pediatr. 2019 Mar 03;13:1179556518824375. doi: 10.1177/1179556518824375. eCollection 2019. PMID: 30853790; PMCID: PMC6399760.
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Nodal Recurrence in Patients With Node-Positive Breast Cancer Treated With Sentinel Node Biopsy Alone After Neoadjuvant Chemotherapy-A Rare Event.

JAMA oncology

Barrio AV, Montagna G, Mamtani A, Sevilimedu V, Edelweiss M, Capko D, Cody HS, El-Tamer M, Gemignani ML, Heerdt A, Kirstein L, Moo TA, Pilewskie M, Plitas G, Sacchini V, Sclafani L, Tadros A, Van Zee KJ, Morrow M.
PMID: 34617979
JAMA Oncol. 2021 Oct 07; doi: 10.1001/jamaoncol.2021.4394. Epub 2021 Oct 07.

IMPORTANCE: Prospective trials have demonstrated sentinel lymph node (SLN) false-negative rates of less than 10% when 3 or more SLNs are retrieved in patients with clinically node-positive breast cancer rendered clinically node-negative with neoadjuvant chemotherapy (NAC). However, rates of...

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Barrio AV, Montagna G, Mamtani A, et al. Nodal Recurrence in Patients With Node-Positive Breast Cancer Treated With Sentinel Node Biopsy Alone After Neoadjuvant Chemotherapy-A Rare Event. JAMA Oncol. 2021;doi: 10.1001/jamaoncol.2021.4394.
Barrio, A. V., Montagna, G., Mamtani, A., Sevilimedu, V., Edelweiss, M., Capko, D., Cody, H. S., El-Tamer, M., Gemignani, M. L., Heerdt, A., Kirstein, L., Moo, T. A., Pilewskie, M., Plitas, G., Sacchini, V., Sclafani, L., Tadros, A., Van Zee, K. J., & Morrow, M. (2021). Nodal Recurrence in Patients With Node-Positive Breast Cancer Treated With Sentinel Node Biopsy Alone After Neoadjuvant Chemotherapy-A Rare Event. JAMA oncology, . https://doi.org/10.1001/jamaoncol.2021.4394
Barrio, Andrea V, et al. "Nodal Recurrence in Patients With Node-Positive Breast Cancer Treated With Sentinel Node Biopsy Alone After Neoadjuvant Chemotherapy-A Rare Event." JAMA oncology vol. (2021). doi: https://doi.org/10.1001/jamaoncol.2021.4394
Barrio AV, Montagna G, Mamtani A, Sevilimedu V, Edelweiss M, Capko D, Cody HS, El-Tamer M, Gemignani ML, Heerdt A, Kirstein L, Moo TA, Pilewskie M, Plitas G, Sacchini V, Sclafani L, Tadros A, Van Zee KJ, Morrow M. Nodal Recurrence in Patients With Node-Positive Breast Cancer Treated With Sentinel Node Biopsy Alone After Neoadjuvant Chemotherapy-A Rare Event. JAMA Oncol. 2021 Oct 07; doi: 10.1001/jamaoncol.2021.4394. Epub 2021 Oct 07. PMID: 34617979; PMCID: PMC8498932.
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Identification and Validation of High LD Hotspot Genomic Regions Harboring Stem Rust Resistant Genes on 1B, 2A (.

Frontiers in genetics

Eltaher S, Mourad AMI, Baenziger PS, Wegulo S, Belamkar V, Sallam A.
PMID: 34659366
Front Genet. 2021 Oct 01;12:749675. doi: 10.3389/fgene.2021.749675. eCollection 2021.

Stem rust caused by

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Eltaher S, Mourad AMI, Baenziger PS, et al. Identification and Validation of High LD Hotspot Genomic Regions Harboring Stem Rust Resistant Genes on 1B, 2A (. Front Genet. 2021;12:749675doi: 10.3389/fgene.2021.749675.
Eltaher, S., Mourad, A. M. I., Baenziger, P. S., Wegulo, S., Belamkar, V., & Sallam, A. (2021). Identification and Validation of High LD Hotspot Genomic Regions Harboring Stem Rust Resistant Genes on 1B, 2A (. Frontiers in genetics, 12749675. https://doi.org/10.3389/fgene.2021.749675
Eltaher, Shamseldeen, et al. "Identification and Validation of High LD Hotspot Genomic Regions Harboring Stem Rust Resistant Genes on 1B, 2A (." Frontiers in genetics vol. 12 (2021): 749675. doi: https://doi.org/10.3389/fgene.2021.749675
Eltaher S, Mourad AMI, Baenziger PS, Wegulo S, Belamkar V, Sallam A. Identification and Validation of High LD Hotspot Genomic Regions Harboring Stem Rust Resistant Genes on 1B, 2A (. Front Genet. 2021 Oct 01;12:749675. doi: 10.3389/fgene.2021.749675. eCollection 2021. PMID: 34659366; PMCID: PMC8517078.
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Nanofabrication of High-Resolution Periodic Structures with a Gap Size Below 100 nm by Two-Photon Polymerization.

Nanoscale research letters

Zheng L, Kurselis K, El-Tamer A, Hinze U, Reinhardt C, Overmeyer L, Chichkov B.
PMID: 30997578
Nanoscale Res Lett. 2019 Apr 17;14(1):134. doi: 10.1186/s11671-019-2955-5.

In this paper, approaches for the realization of high-resolution periodic structures with gap sizes at sub-100 nm scale by two-photon polymerization (2PP) are presented. The impact of laser intensity on the feature sizes and surface quality is investigated. The...

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Zheng L, Kurselis K, El-Tamer A, et al. Nanofabrication of High-Resolution Periodic Structures with a Gap Size Below 100 nm by Two-Photon Polymerization. Nanoscale Res Lett. 2019;14(1):134doi: 10.1186/s11671-019-2955-5.
Zheng, L., Kurselis, K., El-Tamer, A., Hinze, U., Reinhardt, C., Overmeyer, L., & Chichkov, B. (2019). Nanofabrication of High-Resolution Periodic Structures with a Gap Size Below 100 nm by Two-Photon Polymerization. Nanoscale research letters, 14(1), 134. https://doi.org/10.1186/s11671-019-2955-5
Zheng, Lei, et al. "Nanofabrication of High-Resolution Periodic Structures with a Gap Size Below 100 nm by Two-Photon Polymerization." Nanoscale research letters vol. 14,1 (2019): 134. doi: https://doi.org/10.1186/s11671-019-2955-5
Zheng L, Kurselis K, El-Tamer A, Hinze U, Reinhardt C, Overmeyer L, Chichkov B. Nanofabrication of High-Resolution Periodic Structures with a Gap Size Below 100 nm by Two-Photon Polymerization. Nanoscale Res Lett. 2019 Apr 17;14(1):134. doi: 10.1186/s11671-019-2955-5. PMID: 30997578; PMCID: PMC6470238.
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Breastfeeding practices in Tathleeth area.

Annals of Saudi medicine

Prabhakar K, Al Amer S, Masoud MA.
PMID: 17588045
Ann Saudi Med. 1991 Jan;11(1):108-9. doi: 10.5144/0256-4947.1991.108.

No abstract available.

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Prabhakar K, Al Amer S, Masoud MA. Breastfeeding practices in Tathleeth area. Ann Saudi Med. 1991;11(1):108-9doi: 10.5144/0256-4947.1991.108.
Prabhakar, K., Al Amer, S., & Masoud, M. A. (1991). Breastfeeding practices in Tathleeth area. Annals of Saudi medicine, 11(1), 108-9. https://doi.org/10.5144/0256-4947.1991.108
Prabhakar, K, et al. "Breastfeeding practices in Tathleeth area." Annals of Saudi medicine vol. 11,1 (1991): 108-9. doi: https://doi.org/10.5144/0256-4947.1991.108
Prabhakar K, Al Amer S, Masoud MA. Breastfeeding practices in Tathleeth area. Ann Saudi Med. 1991 Jan;11(1):108-9. doi: 10.5144/0256-4947.1991.108. PMID: 17588045.
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Dynamics of sex chromosome evolution in a rapid radiation of cichlid fishes.

Science advances

El Taher A, Ronco F, Matschiner M, Salzburger W, Böhne A.
PMID: 34516923
Sci Adv. 2021 Sep 03;7(36):eabe8215. doi: 10.1126/sciadv.abe8215. Epub 2021 Sep 01.

[Figure: see text].

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El Taher A, Ronco F, Matschiner M, et al. Dynamics of sex chromosome evolution in a rapid radiation of cichlid fishes. Sci Adv. 2021;7(36):eabe8215doi: 10.1126/sciadv.abe8215.
El Taher, A., Ronco, F., Matschiner, M., Salzburger, W., & Böhne, A. (2021). Dynamics of sex chromosome evolution in a rapid radiation of cichlid fishes. Science advances, 7(36), eabe8215. https://doi.org/10.1126/sciadv.abe8215
El Taher, Athimed, et al. "Dynamics of sex chromosome evolution in a rapid radiation of cichlid fishes." Science advances vol. 7,36 (2021): eabe8215. doi: https://doi.org/10.1126/sciadv.abe8215
El Taher A, Ronco F, Matschiner M, Salzburger W, Böhne A. Dynamics of sex chromosome evolution in a rapid radiation of cichlid fishes. Sci Adv. 2021 Sep 03;7(36):eabe8215. doi: 10.1126/sciadv.abe8215. Epub 2021 Sep 01. PMID: 34516923; PMCID: PMC8442896.
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Supervised machine learning model to predict oncotype DX risk category in patients over age 50.

Breast cancer research and treatment

Pawloski KR, Gonen M, Wen HY, Tadros AB, Thompson D, Abbate K, Morrow M, El-Tamer M.
PMID: 34751852
Breast Cancer Res Treat. 2021 Nov 09; doi: 10.1007/s10549-021-06443-w. Epub 2021 Nov 09.

PURPOSE: Routine use of the oncotype DX recurrence score (RS) in patients with early-stage, estrogen receptor-positive, HER2-negative (ER+/HER2-) breast cancer is limited internationally by cost and availability. We created a supervised machine learning model using clinicopathologic variables to predict...

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Pawloski KR, Gonen M, Wen HY, et al. Supervised machine learning model to predict oncotype DX risk category in patients over age 50. Breast Cancer Res Treat. 2021;doi: 10.1007/s10549-021-06443-w.
Pawloski, K. R., Gonen, M., Wen, H. Y., Tadros, A. B., Thompson, D., Abbate, K., Morrow, M., & El-Tamer, M. (2021). Supervised machine learning model to predict oncotype DX risk category in patients over age 50. Breast cancer research and treatment, . https://doi.org/10.1007/s10549-021-06443-w
Pawloski, Kate R, et al. "Supervised machine learning model to predict oncotype DX risk category in patients over age 50." Breast cancer research and treatment vol. (2021). doi: https://doi.org/10.1007/s10549-021-06443-w
Pawloski KR, Gonen M, Wen HY, Tadros AB, Thompson D, Abbate K, Morrow M, El-Tamer M. Supervised machine learning model to predict oncotype DX risk category in patients over age 50. Breast Cancer Res Treat. 2021 Nov 09; doi: 10.1007/s10549-021-06443-w. Epub 2021 Nov 09. PMID: 34751852.
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Reply to Significance of 21-Gene Nonconcordant Recurrence Scores in Patients with Multifocal or Multicentric Breast Carcinomas.

Annals of surgical oncology

Pawloski KR, El-Tamer M.
PMID: 34655353
Ann Surg Oncol. 2021 Dec;28:793-794. doi: 10.1245/s10434-021-10921-2. Epub 2021 Oct 16.

No abstract available.

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Pawloski KR, El-Tamer M. Reply to Significance of 21-Gene Nonconcordant Recurrence Scores in Patients with Multifocal or Multicentric Breast Carcinomas. Ann Surg Oncol. 2021;28:793-794doi: 10.1245/s10434-021-10921-2.
Pawloski, K. R., & El-Tamer, M. (2021). Reply to Significance of 21-Gene Nonconcordant Recurrence Scores in Patients with Multifocal or Multicentric Breast Carcinomas. Annals of surgical oncology, 28793-794. https://doi.org/10.1245/s10434-021-10921-2
Pawloski, Kate R, and El-Tamer, Mahmoud. "Reply to Significance of 21-Gene Nonconcordant Recurrence Scores in Patients with Multifocal or Multicentric Breast Carcinomas." Annals of surgical oncology vol. 28 (2021): 793-794. doi: https://doi.org/10.1245/s10434-021-10921-2
Pawloski KR, El-Tamer M. Reply to Significance of 21-Gene Nonconcordant Recurrence Scores in Patients with Multifocal or Multicentric Breast Carcinomas. Ann Surg Oncol. 2021 Dec;28:793-794. doi: 10.1245/s10434-021-10921-2. Epub 2021 Oct 16. PMID: 34655353.
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Cospatial σ-Hole and Lone Pair Interactions of Square-Pyramidal Pentavalent Halogen Compounds with π-Systems: A Quantum Mechanical Study.

ACS omega

Ibrahim MAA, Ahmed OAM, El-Taher S, Al-Fahemi JH, Moussa NAM, Moustafa H.
PMID: 33553949
ACS Omega. 2021 Jan 25;6(4):3319-3329. doi: 10.1021/acsomega.0c05795. eCollection 2021 Feb 02.

In the spirit of the mounting interest in noncovalent interactions, the present study was conducted to scrutinize a special type that simultaneously involved both σ-hole and lone pair (lp) interactions with aromatic π-systems. Square-pyramidal pentavalent halogen-containing molecules, including X-Cl-F

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Ibrahim MAA, Ahmed OAM, El-Taher S, et al. Cospatial σ-Hole and Lone Pair Interactions of Square-Pyramidal Pentavalent Halogen Compounds with π-Systems: A Quantum Mechanical Study. ACS Omega. 2021;6(4):3319-3329doi: 10.1021/acsomega.0c05795.
Ibrahim, M. A. A., Ahmed, O. A. M., El-Taher, S., Al-Fahemi, J. H., Moussa, N. A. M., & Moustafa, H. (2021). Cospatial σ-Hole and Lone Pair Interactions of Square-Pyramidal Pentavalent Halogen Compounds with π-Systems: A Quantum Mechanical Study. ACS omega, 6(4), 3319-3329. https://doi.org/10.1021/acsomega.0c05795
Ibrahim, Mahmoud A A, et al. "Cospatial σ-Hole and Lone Pair Interactions of Square-Pyramidal Pentavalent Halogen Compounds with π-Systems: A Quantum Mechanical Study." ACS omega vol. 6,4 (2021): 3319-3329. doi: https://doi.org/10.1021/acsomega.0c05795
Ibrahim MAA, Ahmed OAM, El-Taher S, Al-Fahemi JH, Moussa NAM, Moustafa H. Cospatial σ-Hole and Lone Pair Interactions of Square-Pyramidal Pentavalent Halogen Compounds with π-Systems: A Quantum Mechanical Study. ACS Omega. 2021 Jan 25;6(4):3319-3329. doi: 10.1021/acsomega.0c05795. eCollection 2021 Feb 02. PMID: 33553949; PMCID: PMC7860235.
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Supervised machine learning model to predict oncotype DX risk category in patients over age 50.

Breast cancer research and treatment

Pawloski KR, Gonen M, Wen HY, Tadros AB, Thompson D, Abbate K, Morrow M, El-Tamer M.
PMID: 34751852
Breast Cancer Res Treat. 2022 Jan;191(2):423-430. doi: 10.1007/s10549-021-06443-w. Epub 2021 Nov 09.

PURPOSE: Routine use of the oncotype DX recurrence score (RS) in patients with early-stage, estrogen receptor-positive, HER2-negative (ER+/HER2-) breast cancer is limited internationally by cost and availability. We created a supervised machine learning model using clinicopathologic variables to predict...

Cite
Pawloski KR, Gonen M, Wen HY, et al. Supervised machine learning model to predict oncotype DX risk category in patients over age 50. Breast Cancer Res Treat. 2021;191(2):423-430doi: 10.1007/s10549-021-06443-w.
Pawloski, K. R., Gonen, M., Wen, H. Y., Tadros, A. B., Thompson, D., Abbate, K., Morrow, M., & El-Tamer, M. (2022). Supervised machine learning model to predict oncotype DX risk category in patients over age 50. Breast cancer research and treatment, 191(2), 423-430. https://doi.org/10.1007/s10549-021-06443-w
Pawloski, Kate R, et al. "Supervised machine learning model to predict oncotype DX risk category in patients over age 50." Breast cancer research and treatment vol. 191,2 (2022): 423-430. doi: https://doi.org/10.1007/s10549-021-06443-w
Pawloski KR, Gonen M, Wen HY, Tadros AB, Thompson D, Abbate K, Morrow M, El-Tamer M. Supervised machine learning model to predict oncotype DX risk category in patients over age 50. Breast Cancer Res Treat. 2022 Jan;191(2):423-430. doi: 10.1007/s10549-021-06443-w. Epub 2021 Nov 09. PMID: 34751852.
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Axial magnetic fields in laser-produced plasmas.

Physical review letters

Adrian V, Briand J, Dinguirard JP, El Tamer M, Gomes A, Kieffer JC, Quemener Y.
PMID: 10030878
Phys Rev Lett. 1985 Jan 07;54(1):38-41. doi: 10.1103/PhysRevLett.54.38.

No abstract available.

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Adrian V, Briand J, Dinguirard JP, et al. Axial magnetic fields in laser-produced plasmas. Phys Rev Lett. 1985;54(1):38-41doi: 10.1103/PhysRevLett.54.38.
Adrian, V., Briand, J., Dinguirard, J. P., El Tamer M, Gomes, A., Kieffer, J. C., & Quemener, Y. (1985). Axial magnetic fields in laser-produced plasmas. Physical review letters, 54(1), 38-41. https://doi.org/10.1103/PhysRevLett.54.38
Adrian, et al. "Axial magnetic fields in laser-produced plasmas." Physical review letters vol. 54,1 (1985): 38-41. doi: https://doi.org/10.1103/PhysRevLett.54.38
Adrian V, Briand J, Dinguirard JP, El Tamer M, Gomes A, Kieffer JC, Quemener Y. Axial magnetic fields in laser-produced plasmas. Phys Rev Lett. 1985 Jan 07;54(1):38-41. doi: 10.1103/PhysRevLett.54.38. PMID: 10030878.
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MammaPrint Feasibility in a Large Tertiary Urban Medical Center: An Initial Experience.

Scientifica

Espinel CF, Keating S, Hibshoosh H, Taback B, Joseph KA, El-Tamer M, Feldman S.
PMID: 24278759
Scientifica (Cairo). 2012;2012:942507. doi: 10.6064/2012/942507. Epub 2012 Dec 31.

Background. The MammaPrint (MP) diagnostic assay stratifies breast cancer patients into high- and low-risk groups using mRNA analysis of a 70-gene profile. The assay is validated for assessment of patients with estrogen receptor positive or negative tumors less than...

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Espinel CF, Keating S, Hibshoosh H, et al. MammaPrint Feasibility in a Large Tertiary Urban Medical Center: An Initial Experience. Scientifica (Cairo). 2012;2012:942507doi: 10.6064/2012/942507.
Espinel, C. F., Keating, S., Hibshoosh, H., Taback, B., Joseph, K. A., El-Tamer, M., & Feldman, S. (2012). MammaPrint Feasibility in a Large Tertiary Urban Medical Center: An Initial Experience. Scientifica, 2012942507. https://doi.org/10.6064/2012/942507
Espinel, C Francisco, et al. "MammaPrint Feasibility in a Large Tertiary Urban Medical Center: An Initial Experience." Scientifica vol. 2012 (2012): 942507. doi: https://doi.org/10.6064/2012/942507
Espinel CF, Keating S, Hibshoosh H, Taback B, Joseph KA, El-Tamer M, Feldman S. MammaPrint Feasibility in a Large Tertiary Urban Medical Center: An Initial Experience. Scientifica (Cairo). 2012;2012:942507. doi: 10.6064/2012/942507. Epub 2012 Dec 31. PMID: 24278759; PMCID: PMC3820467.
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Showing 1 to 12 of 18 entries