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Coordinating care and treatment for cancer patients.

Asian Pacific journal of cancer prevention : APJCP

Yip CH, Samiei M, Cazap E, Rosenblatt E, Datta NR, Camacho R, Weller D, Pannarunothai S, Goh C, Black F, Kaur R, Fitch M, Sutcliffe C, Sutcliffe S.
PMID: 22631594
Asian Pac J Cancer Prev. 2012;13(4):23-36.

Survival following a diagnosis of cancer is contingent upon an interplay of factors, some non-modifiable (e.g., age, sex, genetics) and some modifiable (e.g., volitional choices) but the majority determined by circumstance (personal, social, health system context and capacity, and...

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Yip CH, Samiei M, Cazap E, et al. Coordinating care and treatment for cancer patients. Asian Pac J Cancer Prev. 2012;13(4):23-36
Yip, C. H., Samiei, M., Cazap, E., Rosenblatt, E., Datta, N. R., Camacho, R., Weller, D., Pannarunothai, S., Goh, C., Black, F., Kaur, R., Fitch, M., Sutcliffe, C., Sutcliffe, S. (2012). Coordinating care and treatment for cancer patients. Asian Pacific journal of cancer prevention : APJCP, 13(4), 23-36.
Yip, Cheng Har, et al. "Coordinating care and treatment for cancer patients." Asian Pacific journal of cancer prevention : APJCP vol. 13,4 (2012): 23-36.
Yip CH, Samiei M, Cazap E, Rosenblatt E, Datta NR, Camacho R, Weller D, Pannarunothai S, Goh C, Black F, Kaur R, Fitch M, Sutcliffe C, Sutcliffe S. Coordinating care and treatment for cancer patients. Asian Pac J Cancer Prev. 2012;13(4):23-36. PMID: 22631594.
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Buoyancy: A Model for Self-Reflection about Stress and Burnout in Oncology Providers.

American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting

Fisch MJ.
PMID: 24451836
Am Soc Clin Oncol Educ Book. 2012;e77-80. doi: 10.14694/EdBook_AM.2012.32.188.

Burnout is a prevalent syndrome among oncology providers marked by exhaustion, a sense of ineffectiveness, and depersonalization. This syndrome can have enormous influence on patient care as well as the provider's career fulfillment and personal and family well-being. A...

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Fisch MJ. Buoyancy: A Model for Self-Reflection about Stress and Burnout in Oncology Providers. Am Soc Clin Oncol Educ Book. 2012;e77-80doi: 10.14694/EdBook_AM.2012.32.188.
Fisch, M. J. (2012). Buoyancy: A Model for Self-Reflection about Stress and Burnout in Oncology Providers. American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting, e77-80. https://doi.org/10.14694/EdBook_AM.2012.32.188
Fisch, Michael J. "Buoyancy: A Model for Self-Reflection about Stress and Burnout in Oncology Providers." American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting vol. (2012): e77-80. doi: https://doi.org/10.14694/EdBook_AM.2012.32.188
Fisch MJ. Buoyancy: A Model for Self-Reflection about Stress and Burnout in Oncology Providers. Am Soc Clin Oncol Educ Book. 2012;e77-80. doi: 10.14694/EdBook_AM.2012.32.188. PMID: 24451836.
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High-speed real-time resting-state FMRI using multi-slab echo-volumar imaging.

Frontiers in human neuroscience

Posse S, Ackley E, Mutihac R, Zhang T, Hummatov R, Akhtari M, Chohan M, Fisch B, Yonas H.
PMID: 23986677
Front Hum Neurosci. 2013 Aug 26;7:479. doi: 10.3389/fnhum.2013.00479. eCollection 2013.

We recently demonstrated that ultra-high-speed real-time fMRI using multi-slab echo-volumar imaging (MEVI) significantly increases sensitivity for mapping task-related activation and resting-state networks (RSNs) compared to echo-planar imaging (Posse et al., 2012). In the present study we characterize the sensitivity...

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Posse S, Ackley E, Mutihac R, et al. High-speed real-time resting-state FMRI using multi-slab echo-volumar imaging. Front Hum Neurosci. 2013;7:479doi: 10.3389/fnhum.2013.00479.
Posse, S., Ackley, E., Mutihac, R., Zhang, T., Hummatov, R., Akhtari, M., Chohan, M., Fisch, B., & Yonas, H. (2013). High-speed real-time resting-state FMRI using multi-slab echo-volumar imaging. Frontiers in human neuroscience, 7479. https://doi.org/10.3389/fnhum.2013.00479
Posse, Stefan, et al. "High-speed real-time resting-state FMRI using multi-slab echo-volumar imaging." Frontiers in human neuroscience vol. 7 (2013): 479. doi: https://doi.org/10.3389/fnhum.2013.00479
Posse S, Ackley E, Mutihac R, Zhang T, Hummatov R, Akhtari M, Chohan M, Fisch B, Yonas H. High-speed real-time resting-state FMRI using multi-slab echo-volumar imaging. Front Hum Neurosci. 2013 Aug 26;7:479. doi: 10.3389/fnhum.2013.00479. eCollection 2013. PMID: 23986677; PMCID: PMC3752525.
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New magnetic frameworks of [(CuF2(H2O)2)(x)(pyz)].

Chemical communications (Cambridge, England)

Lanza A, Fiolka C, Fisch M, Casati N, Skoulatos M, Rüegg C, Krämer KW, Macchi P.
PMID: 25308125
Chem Commun (Camb). 2014 Dec 04;50(93):14504-7. doi: 10.1039/c4cc06696k. Epub 2014 Oct 13.

Pressure-driven orbital reordering in the quantum magnet [CuF2(H2O)2(pyz)], (pyz = pyrazine), dramatically affects its magnetic exchange interactions. The crystal chemistry of this system is enriched with a new phase above 3 GPa, surprisingly concomitant with other polymorphs. Moreover, we...

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Lanza A, Fiolka C, Fisch M, et al. New magnetic frameworks of [(CuF2(H2O)2)(x)(pyz)]. Chem Commun (Camb). 2014;50(93):14504-7doi: 10.1039/c4cc06696k.
Lanza, A., Fiolka, C., Fisch, M., Casati, N., Skoulatos, M., Rüegg, C., Krämer, K. W., & Macchi, P. (2014). New magnetic frameworks of [(CuF2(H2O)2)(x)(pyz)]. Chemical communications (Cambridge, England), 50(93), 14504-7. https://doi.org/10.1039/c4cc06696k
Lanza, A, et al. "New magnetic frameworks of [(CuF2(H2O)2)(x)(pyz)]." Chemical communications (Cambridge, England) vol. 50,93 (2014): 14504-7. doi: https://doi.org/10.1039/c4cc06696k
Lanza A, Fiolka C, Fisch M, Casati N, Skoulatos M, Rüegg C, Krämer KW, Macchi P. New magnetic frameworks of [(CuF2(H2O)2)(x)(pyz)]. Chem Commun (Camb). 2014 Dec 04;50(93):14504-7. doi: 10.1039/c4cc06696k. Epub 2014 Oct 13. PMID: 25308125.
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High-temperature series for the +/-J random-bond Ising model.

Physical review. B, Condensed matter

Fisch R.
PMID: 9999165
Phys Rev B Condens Matter. 1991 Jul 01;44(2):652-657. doi: 10.1103/physrevb.44.652.

No abstract available.

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Fisch R. High-temperature series for the +/-J random-bond Ising model. Phys Rev B Condens Matter. 1991;44(2):652-657doi: 10.1103/physrevb.44.652.
Fisch, R. (1991). High-temperature series for the +/-J random-bond Ising model. Physical review. B, Condensed matter, 44(2), 652-657. https://doi.org/10.1103/physrevb.44.652
Fisch. "High-temperature series for the +/-J random-bond Ising model." Physical review. B, Condensed matter vol. 44,2 (1991): 652-657. doi: https://doi.org/10.1103/physrevb.44.652
Fisch R. High-temperature series for the +/-J random-bond Ising model. Phys Rev B Condens Matter. 1991 Jul 01;44(2):652-657. doi: 10.1103/physrevb.44.652. PMID: 9999165.
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Efficient population-scale variant analysis and prioritization with VAPr.

Bioinformatics (Oxford, England)

Birmingham A, Mark AM, Mazzaferro C, Xu G, Fisch KM.
PMID: 29659724
Bioinformatics. 2018 Aug 15;34(16):2843-2845. doi: 10.1093/bioinformatics/bty192.

SUMMARY: With the growing availability of population-scale whole-exome and whole-genome sequencing, demand for reproducible, scalable variant analysis has spread within genomic research communities. To address this need, we introduce the Python package Variant Analysis and Prioritization (VAPr). VAPr leverages...

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Birmingham A, Mark AM, Mazzaferro C, et al. Efficient population-scale variant analysis and prioritization with VAPr. Bioinformatics. 2018;34(16):2843-2845doi: 10.1093/bioinformatics/bty192.
Birmingham, A., Mark, A. M., Mazzaferro, C., Xu, G., & Fisch, K. M. (2018). Efficient population-scale variant analysis and prioritization with VAPr. Bioinformatics (Oxford, England), 34(16), 2843-2845. https://doi.org/10.1093/bioinformatics/bty192
Birmingham, Amanda, et al. "Efficient population-scale variant analysis and prioritization with VAPr." Bioinformatics (Oxford, England) vol. 34,16 (2018): 2843-2845. doi: https://doi.org/10.1093/bioinformatics/bty192
Birmingham A, Mark AM, Mazzaferro C, Xu G, Fisch KM. Efficient population-scale variant analysis and prioritization with VAPr. Bioinformatics. 2018 Aug 15;34(16):2843-2845. doi: 10.1093/bioinformatics/bty192. PMID: 29659724; PMCID: PMC6084604.
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Bayesian Design of Proof-of-Concept Trials.

Therapeutic innovation & regulatory science

Fisch R, Jones I, Jones J, Kerman J, Rosenkranz GK, Schmidli H.
PMID: 30222466
Ther Innov Regul Sci. 2015 Jan;49(1):155-162. doi: 10.1177/2168479014533970.

The proof-of-concept (PoC) decision is a key milestone in the clinical development of an experimental treatment. A decision is taken on whether the experimental treatment is further developed (GO), whether its development is stopped (NO-GO), or whether further information...

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Fisch R, Jones I, Jones J, et al. Bayesian Design of Proof-of-Concept Trials. Ther Innov Regul Sci. 2015;49(1):155-162doi: 10.1177/2168479014533970.
Fisch, R., Jones, I., Jones, J., Kerman, J., Rosenkranz, G. K., & Schmidli, H. (2015). Bayesian Design of Proof-of-Concept Trials. Therapeutic innovation & regulatory science, 49(1), 155-162. https://doi.org/10.1177/2168479014533970
Fisch, Roland, et al. "Bayesian Design of Proof-of-Concept Trials." Therapeutic innovation & regulatory science vol. 49,1 (2015): 155-162. doi: https://doi.org/10.1177/2168479014533970
Fisch R, Jones I, Jones J, Kerman J, Rosenkranz GK, Schmidli H. Bayesian Design of Proof-of-Concept Trials. Ther Innov Regul Sci. 2015 Jan;49(1):155-162. doi: 10.1177/2168479014533970. PMID: 30222466.
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Models to Predict Hepatitis B Virus Infection Among Patients With Cancer Undergoing Systemic Anticancer Therapy: A Prospective Cohort Study.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology

Hwang JP, Lok AS, Fisch MJ, Cantor SB, Barbo A, Lin HY, Foreman JT, Vierling JM, Torres HA, Granwehr BP, Miller E, Eng C, Simon GR, Ahmed S, Ferrajoli A, Romaguera J, Suarez-Almazor ME.
PMID: 29447061
J Clin Oncol. 2018 Apr 01;36(10):959-967. doi: 10.1200/JCO.2017.75.6387. Epub 2018 Feb 15.

PURPOSE: Most patients with cancer are not screened for hepatitis B virus (HBV) infection before undergoing anticancer therapy, and optimal screening strategies are unknown. We sought to develop selective HBV screening strategies for patients who require systemic anticancer therapy.METHODS:...

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Hwang JP, Lok AS, Fisch MJ, et al. Models to Predict Hepatitis B Virus Infection Among Patients With Cancer Undergoing Systemic Anticancer Therapy: A Prospective Cohort Study. J Clin Oncol. 2018;36(10):959-967doi: 10.1200/JCO.2017.75.6387.
Hwang, J. P., Lok, A. S., Fisch, M. J., Cantor, S. B., Barbo, A., Lin, H. Y., Foreman, J. T., Vierling, J. M., Torres, H. A., Granwehr, B. P., Miller, E., Eng, C., Simon, G. R., Ahmed, S., Ferrajoli, A., Romaguera, J., & Suarez-Almazor, M. E. (2018). Models to Predict Hepatitis B Virus Infection Among Patients With Cancer Undergoing Systemic Anticancer Therapy: A Prospective Cohort Study. Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 36(10), 959-967. https://doi.org/10.1200/JCO.2017.75.6387
Hwang, Jessica P, et al. "Models to Predict Hepatitis B Virus Infection Among Patients With Cancer Undergoing Systemic Anticancer Therapy: A Prospective Cohort Study." Journal of clinical oncology : official journal of the American Society of Clinical Oncology vol. 36,10 (2018): 959-967. doi: https://doi.org/10.1200/JCO.2017.75.6387
Hwang JP, Lok AS, Fisch MJ, Cantor SB, Barbo A, Lin HY, Foreman JT, Vierling JM, Torres HA, Granwehr BP, Miller E, Eng C, Simon GR, Ahmed S, Ferrajoli A, Romaguera J, Suarez-Almazor ME. Models to Predict Hepatitis B Virus Infection Among Patients With Cancer Undergoing Systemic Anticancer Therapy: A Prospective Cohort Study. J Clin Oncol. 2018 Apr 01;36(10):959-967. doi: 10.1200/JCO.2017.75.6387. Epub 2018 Feb 15. PMID: 29447061; PMCID: PMC7351320.
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Implantable hearing devices.

GMS current topics in otorhinolaryngology, head and neck surgery

Tisch M.
PMID: 29279724
GMS Curr Top Otorhinolaryngol Head Neck Surg. 2017 Dec 18;16:Doc06. doi: 10.3205/cto000145. eCollection 2017.

Combined hearing loss is an essential indication for implantable hearing systems. Depending on the bone conduction threshold, various options are available. Patients with mild sensorineural deafness usually benefit from transcutaneous bone conduction implants (BCI), while percutaneous BCI systems are...

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Tisch M. Implantable hearing devices. GMS Curr Top Otorhinolaryngol Head Neck Surg. 2017;16:Doc06doi: 10.3205/cto000145.
Tisch, M. (2017). Implantable hearing devices. GMS current topics in otorhinolaryngology, head and neck surgery, 16Doc06. https://doi.org/10.3205/cto000145
Tisch, Matthias. "Implantable hearing devices." GMS current topics in otorhinolaryngology, head and neck surgery vol. 16 (2017): Doc06. doi: https://doi.org/10.3205/cto000145
Tisch M. Implantable hearing devices. GMS Curr Top Otorhinolaryngol Head Neck Surg. 2017 Dec 18;16:Doc06. doi: 10.3205/cto000145. eCollection 2017. PMID: 29279724; PMCID: PMC5738935.
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X-ray and Raman scattering study of orientational order in nematic and heliconical nematic liquid crystals.

Physical review. E

Singh G, Fu J, Agra-Kooijman DM, Song JK, Vengatesan MR, Srinivasarao M, Fisch MR, Kumar S.
PMID: 28085478
Phys Rev E. 2016 Dec;94(6):060701. doi: 10.1103/PhysRevE.94.060701. Epub 2016 Dec 13.

The temperature dependence of the orientational order parameters 〈P_{2}(cosβ)〉 and 〈P_{4}(cosβ)〉 in the nematic (N) and twist-bend nematic (N_{tb}) phases of the liquid crystal dimer CB7CB have been measured using x-ray and polarized Raman scattering. The 〈P_{2}(cosβ)〉 obtained from...

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Singh G, Fu J, Agra-Kooijman DM, et al. X-ray and Raman scattering study of orientational order in nematic and heliconical nematic liquid crystals. Phys Rev E. 2016;94(6):060701doi: 10.1103/PhysRevE.94.060701.
Singh, G., Fu, J., Agra-Kooijman, D. M., Song, J. K., Vengatesan, M. R., Srinivasarao, M., Fisch, M. R., & Kumar, S. (2016). X-ray and Raman scattering study of orientational order in nematic and heliconical nematic liquid crystals. Physical review. E, 94(6), 060701. https://doi.org/10.1103/PhysRevE.94.060701
Singh, Gautam, et al. "X-ray and Raman scattering study of orientational order in nematic and heliconical nematic liquid crystals." Physical review. E vol. 94,6 (2016): 060701. doi: https://doi.org/10.1103/PhysRevE.94.060701
Singh G, Fu J, Agra-Kooijman DM, Song JK, Vengatesan MR, Srinivasarao M, Fisch MR, Kumar S. X-ray and Raman scattering study of orientational order in nematic and heliconical nematic liquid crystals. Phys Rev E. 2016 Dec;94(6):060701. doi: 10.1103/PhysRevE.94.060701. Epub 2016 Dec 13. PMID: 28085478.
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Complications Following Common Inpatient Urological Procedures: Temporal Trend Analysis from 2000 to 2010.

European urology focus

Meyer CP, Hollis M, Cole AP, Hanske J, O'Leary J, Gupta S, Löppenberg B, Zavaski ME, Sun M, Sammon JD, Kibel AS, Fisch M, Chun FKH, Trinh QD.
PMID: 28723447
Eur Urol Focus. 2016 Apr;2(1):3-9. doi: 10.1016/j.euf.2015.10.001. Epub 2015 Nov 11.

BACKGROUND: Measuring procedure-specific complication-rate trends allows for benchmarking and improvement in quality of care but must be done in a standardized fashion.DESIGN, SETTING, AND PARTICIPANTS: Using the Nationwide Inpatient Sample, we identified all instances of eight common inpatient urologic...

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Meyer CP, Hollis M, Cole AP, et al. Complications Following Common Inpatient Urological Procedures: Temporal Trend Analysis from 2000 to 2010. Eur Urol Focus. 2015;2(1):3-9doi: 10.1016/j.euf.2015.10.001.
Meyer, C. P., Hollis, M., Cole, A. P., Hanske, J., O'Leary, J., Gupta, S., Löppenberg, B., Zavaski, M. E., Sun, M., Sammon, J. D., Kibel, A. S., Fisch, M., Chun, F. K. H., & Trinh, Q. D. (2016). Complications Following Common Inpatient Urological Procedures: Temporal Trend Analysis from 2000 to 2010. European urology focus, 2(1), 3-9. https://doi.org/10.1016/j.euf.2015.10.001
Meyer, Christian P, et al. "Complications Following Common Inpatient Urological Procedures: Temporal Trend Analysis from 2000 to 2010." European urology focus vol. 2,1 (2016): 3-9. doi: https://doi.org/10.1016/j.euf.2015.10.001
Meyer CP, Hollis M, Cole AP, Hanske J, O'Leary J, Gupta S, Löppenberg B, Zavaski ME, Sun M, Sammon JD, Kibel AS, Fisch M, Chun FKH, Trinh QD. Complications Following Common Inpatient Urological Procedures: Temporal Trend Analysis from 2000 to 2010. Eur Urol Focus. 2016 Apr;2(1):3-9. doi: 10.1016/j.euf.2015.10.001. Epub 2015 Nov 11. PMID: 28723447.
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Insights into Electrochemical Oxidation of NaO.

ACS applied materials & interfaces

Morasch R, Kwabi DG, Tulodziecki M, Risch M, Zhang S, Shao-Horn Y.
PMID: 28173703
ACS Appl Mater Interfaces. 2017 Feb 08;9(5):4374-4381. doi: 10.1021/acsami.6b08355. Epub 2016 Nov 18.

O

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Morasch R, Kwabi DG, Tulodziecki M, et al. Insights into Electrochemical Oxidation of NaO. ACS Appl Mater Interfaces. 2016;9(5):4374-4381doi: 10.1021/acsami.6b08355.
Morasch, R., Kwabi, D. G., Tulodziecki, M., Risch, M., Zhang, S., & Shao-Horn, Y. (2017). Insights into Electrochemical Oxidation of NaO. ACS applied materials & interfaces, 9(5), 4374-4381. https://doi.org/10.1021/acsami.6b08355
Morasch, Robert, et al. "Insights into Electrochemical Oxidation of NaO." ACS applied materials & interfaces vol. 9,5 (2017): 4374-4381. doi: https://doi.org/10.1021/acsami.6b08355
Morasch R, Kwabi DG, Tulodziecki M, Risch M, Zhang S, Shao-Horn Y. Insights into Electrochemical Oxidation of NaO. ACS Appl Mater Interfaces. 2017 Feb 08;9(5):4374-4381. doi: 10.1021/acsami.6b08355. Epub 2016 Nov 18. PMID: 28173703.
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Showing 25 to 36 of 430 entries