16 results on '"Anjali Naik"'
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2. Optimal Placement of Renewable Energy Sources in Low Power Distribution System For Techno-Economic Performance Benefits
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Samarjit Patnaik, Pratyush Parida, Anjali Naik, Payalsmita Pradhan, Swapnasis Satpathy, Debasish Kisan, and Manas Ranjan Nayak
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- 2023
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3. Histogram Equalization for Class-Identification of Dental Disease Using Digital Radiography.
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Anjali Naik, Shubhangi Vinayak Tikhe, and S. D. Bhide
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- 2010
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4. Effect of Hyperparameters on Backpropagation
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Aaditree Jaisswal and Anjali Naik
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- 2021
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5. Safety of axicabtagene ciloleucel for relapsed/refractory large B-cell lymphoma in an elderly intercity population
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Kith Pradhan, Michelly Abreu, Amit Verma, Monika Paroder, Noah Kornblum, Aditi Shastri, Jennat Mustafa, Fariha Khatun, Ira Braunschweig, Lizamarie Bachier-Rodriguez, Lauren C. Shapiro, Kailyn Gillick, R. Alejandro Sica, Mendel Goldfinger, Alyssa De Castro, Joan Uehlinger, Karen Fehn, Richard Elkind, Randin Nelson, Ioannis Mantzaris, Anjali Naik, Kira Gritsman, Donika Binakaj, Felisha Joseph, and Amanda Lombardo
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Oncology ,Biological Products ,Transplantation ,medicine.medical_specialty ,education.field_of_study ,business.industry ,Antigens, CD19 ,Population ,Hematology ,medicine.disease ,Immunotherapy, Adoptive ,Text mining ,Internal medicine ,Relapsed refractory ,medicine ,Humans ,Lymphoma, Large B-Cell, Diffuse ,business ,education ,B-cell lymphoma ,Aged - Published
- 2021
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6. Effect of Vermiwash on the growth of Capsicum annuum
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Rajender Rao, Kulkarni, primary, Silveira, Juliana, additional, Anjali, Naik, additional, Sneha, Naik, additional, Sutisha, Raikar, additional, and Savita, Rekdo, additional
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- 2022
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7. Analysis of Shallow Neural Network for the Lung Cancer Detection Using CT—Scan Images
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Sakshi Saoji, Eniya Kulshreshtha, Anjali Naik, Zayeema Masoom, and Sakshi Karanjekar
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Artificial neural network ,medicine.diagnostic_test ,Computer science ,business.industry ,Pattern recognition ,Computed tomography ,medicine.disease ,Convolutional neural network ,Backpropagation ,Identification (information) ,Feature (computer vision) ,Genetic algorithm ,medicine ,Artificial intelligence ,Lung cancer ,business - Abstract
Among all cancerous disease’s, lung cancer is the most driving reason for death in entire world. Early analysis and detection of the malady spares gigantic lives, flopping in which may prompt other extreme issues causing abrupt deadly demise. All in all, a measure for beginning period diagnosis mostly incorporates X-rays, CT-images, MRI's, and so forth. The proposed method utilizes CT-scan images as it is profoundly detailed, precise, painless, and easy. The CT-scan images are assembled in two classes, i.e., cancerous and non-cancerous. This method centers around identification of lung cancer utilizing gray level co-occurrence matrices (GLCM) feature-based under artificial network back-propagation. Further, for improved examination of lung cancer detection, genetic algorithm will be utilized with back propagation that would extract as well as select features based on the fitness. This research paper will give the analysis of back propagation and back propagation with genetic algorithm.
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- 2021
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8. Safety of Autologous Hematopoietic Stem Cell Transplantation in Patients over 75 Years Old. Single Center Experience Serving a Minority Population
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Joan Uehlinger, Anjali Naik, R. Alejandro Sica, Ira Braunschweig, Richard Elkind, Monika Paroder, Felisha Joseph, Fariha Khatun, Amit Verma, Donika Binakaj, Kailyn Gillick, Kira Gritsman, Mendel Goldfinger, Aditi Shastri, Jennat Mustafa, Amanda Lombardo, Tanim Jain, Carlo Palesi, Alyssa De Castro, Noah Kornblum, Randin Nelson, Karen Fehn, Kith Pradhan, Michelly Abreu, Kateryna Fedorov, Lizamarie Bachier-Rodriguez, and Ioannis Mantzaris
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Oncology ,education.field_of_study ,medicine.medical_specialty ,business.industry ,medicine.medical_treatment ,Immunology ,Population ,Cell Biology ,Hematology ,Hematopoietic stem cell transplantation ,Single Center ,Biochemistry ,Internal medicine ,medicine ,In patient ,education ,business - Abstract
Background: Autologous hematopoietic stem cell transplant (auto-HSCT) is a commonly used treatment for multiple myeloma (MM) and for relapsed/refractory non-Hodgkin lymphomas (NHL) for patients who are 65 years old, and nearly half of those are in patients >75 years old. While some studies have evaluated the use of auto-HSCT in older patients 65-75 years of age, there are few studies evaluating the relative safety of this treatment in patients above the age of 75 years. Such patients and their providers require outcome data of auto-HSCT in the elderly in order to help guide informed decision-making. Methods: We conducted a retrospective cohort study comparing short-term outcomes for auto-HSCT in patients >75 years old and 55-65 years old for the diagnosis of MM or NHL, who were conditioned with either melphalan or BEAM (carmustine, etoposide, cytarabine, melphalan) respectively. To identify patients, we used an internal database of auto-HSCT performed between 2005 - 2021. The study group included patients >75 years old. The control group included patients 55-65 years old that were matched to the study group patients by sex and time of transplant. Medical records were reviewed to gather data on demographics, pre-transplant functional status, transplant indication and conditioning regimen, length of stay, admission mortality, 30-day rehospitalization rate, ICU admission, neutropenic fever and infectious workup results, and time to WBC and platelet engraftment. The primary outcomes of the study were admission mortality, length of stay, time to WBC and platelet engraftment incidence, incidence of neutropenic fever, positive blood culture, ICU admission, and 30-day rehospitalization rate. Averages were calculated using medians and IQR. Admission mortality was evaluated using log rank test. P values were calculated using Fisher's test for categorical data and Wilcoxon rank sum test for continuous data. Significance was denoted by α =0.05. Results: We identified 43 patients aged >75 years old who underwent autologous stem cell transplant for multiple myeloma or lymphoma with melphalan or BEAM conditioning at Montefiore Medical Center between 2005-2021. Patient characteristics (Table 1) The earliest transplant in out cohort was in 12/2005 and the latest was in 3/2021. The median time between transplants of patients in the study and cohort groups was 14 [7.5, 24] days. 24 (55.8%) patients were female. The median age in the study group was 77.1 [76.2, 77.9] years old and 61.9 [57.4, 63.0] years old in the control group. Both groups predominantly included patients from minority populations: 55.8 and 46.5% were Spanish/Hispanic/Latino and 25.6% and 14.0% were African American, in study and control groups respectively. Multiple myeloma was the most common indication for auto-HSCT. Primary outcomes (Table 2) Admission mortality did not differ significantly between the groups, with only one death in the control group (p = 0.083). The length of stay was comparable at 18 [17, 22] days and 19 [16, 20] days (p = 0.2) for study and control groups, respectively. Time to WBC engraftment in the study group was 12 [11, 12] days and 11 [11, 12] days in the control group (p = 0.032). Time to platelet engraftment in the study group was 14 [12, 15] days and 12 [11, 14] days in the control group (p = 0.014). Although both time to WBC and platelet engraftment was significantly longer in the study group, the clinical significance of this finding is questionable, especially as it did not seem to prolong length of stay. There was no significant difference between incidence of neutropenic fever, or between incidence of positive blood cultures in patients with neutropenic fever. There was a non-statistically significant increase in the rate of ICU admissions in the study group vs control group 4/43 and 0/43 respectively (p=0.12). 30-day rehospitalization rate was comparable between the two groups. Conclusion: We did not find a statistically significant increase in morbidity or mortality for patients 75-80 years of age undergoing auto-HSCT compared with patients 55-65 years old. To our knowledge this is the largest cohort to date demonstrating the safety of auto-HSCT in this elderly population. Figure 1 Figure 1. Disclosures Gritsman: iOnctura: Research Funding. Shastri: Onclive: Honoraria; GLC: Consultancy; Kymera Therapeutics: Research Funding; Guidepoint: Consultancy. Verma: Medpacto: Research Funding; Curis: Research Funding; Eli Lilly: Research Funding; Stelexis: Consultancy, Current equity holder in publicly-traded company; Novartis: Consultancy; Acceleron: Consultancy; Celgene: Consultancy; Stelexis: Current equity holder in publicly-traded company; Throws Exception: Current equity holder in publicly-traded company; Incyte: Research Funding; GSK: Research Funding; BMS: Research Funding.
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- 2021
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9. Patterns of leukocyte recovery predict infectious complications after CD19 CAR-T cell therapy in a real-world setting
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Christopher Nishimura, Donika Binakaj, Yang Shi, Lizamarie Bachier-Rodriguez, Carlo Palesi, Ulrich Steidl, Amanda Lombardo, Noah Kornblum, Xiaoxin Ren, Randin Nelson, Susan Sakalian, Fariha Khatun, Ira Braunschweig, Alyssa De Castro, Karen Fehn, Margaret McCort, Mendel Goldfinger, Murali Janakiram, Latoya Townsend-Nugent, Stephen Peeke, Zhu Cui, Rachel Bartash, Felisha Joseph, Ioannis Mantzaris, Rosmi Mathew, Monika Paroder, Kailyn Gillick, Anjali Naik, Yanhua Wang, Kira Gritsman, Nicole Chambers, Nishi Shah, Shafia Rahman, Kith Pradhan, Michelly Abreu, Joan Uehlinger, R. Alejandro Sica, Olga Derman, Astha Thakkar, Aditi Shastri, Karen Wright, Jennat Mustafa, Yoram A. Puius, Richard Elkind, Hao Wang, Xingxing Zang, Angelica D'Aiello, and Amit Verma
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Cytopenia ,medicine.medical_specialty ,business.industry ,Retrospective cohort study ,medicine.disease ,Gastroenterology ,Chimeric antigen receptor ,Lymphoma ,Cell therapy ,Refractory ,Internal medicine ,Cohort ,medicine ,Etiology ,Original Article ,business - Abstract
BACKGROUND: Adoptive immunotherapy using CD19-targeted Chimeric antigen receptor T cells (CAR-T) has revolutionized the treatment of relapsed/refractory diffuse large B-cell lymphoma (DLBCL). Data is limited on the propensity of infections and lymphohematopoietic reconstitution after Day 30 (D30) following CAR-T cell therapy. In this study, we evaluated the prevalence and nature of infectious complications in an expanded cohort of DLBCL patients treated with CD19 CAR-T therapy and its association with the dynamics of leukocyte subpopulation reconstitution post-CAR-T cell therapy. METHODS: We conducted a retrospective study including 19 patients who received axicabtagene ciloleucel and investigated associations between cytopenia and infectious complications after D30. RESULTS: Nineteen patients were included, consisting of 42% Hispanic, 32% Caucasian, 21% African-American, and 5% Asian subjects. Post-D30 of CAR-T infusion, 47% patients (n=9) developed an infection and 53% (n=10) remained infection-free. The most common infection type observed was viral (7 patients) followed by bacterial (5 patients) and fungal (3 patients). Of 25 total infectious events, 56% were grade 1 or 2 and 44% were grade 3 with 10 being viral in etiology. To determine the kinetics of lymphohematopoietic reconstitution and its association with infection risk, we evaluated the relationship between cytopenias and rates of infection after D30. Notably, compared to non-infection group, infection group had a higher median absolute lymphocyte count (ALC) (1,000/µL vs. 600/µL, P1,500/µL in the infection group as opposed to 70% in the non-infection group at D90 (P
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- 2021
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10. Prognostic Factors for North American Adult T Cell Leukemia Lymphoma: Defining Risk Groups Using a Four-Point Score Prognostic System
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Mendel Goldfinger, Fariha Khatun, B. Hilda Ye, Felisha Joseph, Alvaro Alvarez Soto, Angelica D'Aiello, Shafia Rahman, Noah Kornblum, Ira Braunschweig, Anjali Naik, Kira Gritsman, Kith Pradhan, Kenny Ye, Amit Verma, Alyssa De Castro, Xingxing Zang, Zhu Cui, Olga Derman, Urvi A Shah, R. Alejandro Sica, Michal Kasher Meron, Lindor Qunaj, Kailyn Gillick, Hao Wang, Ioannis Mantzaris, Murali Janakiram, Astha Thakkar, Xiaoxin Ren, Aditi Shastri, Jennat Mustafa, Ulrich Steidl, and Amanda Lombardo
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Oncology ,medicine.medical_specialty ,Risk groups ,business.industry ,Internal medicine ,Immunology ,medicine ,Cell Biology ,Hematology ,medicine.disease ,business ,Biochemistry ,Adult T-cell leukemia/lymphoma - Abstract
Introduction: Adult T cell leukemia lymphoma (ATLL) is a rare T cell neoplasm caused by the human T-lymphotropic virus (HTLV-1) virus. Although there are indolent subtypes it is often a highly aggressive and chemotherapy refractory malignancy. We follow one of the largest cohorts in the United States and in this study, we sought to elucidate the prognostic factors associated with inferior survival. Methods: A retrospective analysis of patients diagnosed with ATLL at Montefiore Medical Center was conducted. Subjects included were censored at last point of contact. Variables collected included age, gender, race, ethnicity, ATLL subtype, white blood cell count (WBC), absolute lymphocyte count (ALC), corrected calcium level, lymphadenopathy (LAD) (two or more non-contiguous sites). Associations between WBC, ALC, corrected calcium level, LAD and median overall survival (mOS) were assessed using the Kaplan-Meier method with log-rank test. A four-point prognostic system was designed assigning one point to each: WBC > 11,000; ALC>4000; Corrected Ca≥10.5 and presence of LAD. Three risk groups were assigned based on the number of risk factors as follows: low (0-1 points), intermediate (2 points) and high (3-4 points) (Table 2). Association between these groups and OS was investigated using the Kaplan-Meier method with log-rank test. Results: A total of 61 ATLL subjects were included in this study (table 1). Hypercalcemia (Ca ≥10.5) was observed in 60.6% of subjects at diagnosis and was associated with inferior mOS (234 days) when compared to calcium < 10.5 (747days) (p=0.046), Figure 1A. WBC >11,000 had a strong association with inferior survival (175 days) compared to patients with a WBC ≤11,000 (666 days) (p= 0.0067) (Figure 1B). ALC > 4000 was also associated with inferior mOS (222 days) compared to ALC ≤4000 (666 days) (p=0.015) (Figure 1C). LAD was associated with mOS (188 days) compared with no LAD (847 days) (p=0.022) (Figure 1D). Based on these observations, we designed a prognostic system (0-4 points) (see above) to risk stratify newly diagnosed ATLL patients into: low (0-1 points), intermediate (2 points) and high (3-4 points) risk (Table 2). We divided our cohort into the above-mentioned risk groups and calculated their mOS. Kaplan Meier analysis (Figure 2) revealed a distinct mOS difference between the groups based on their risk score: Low: 419 days, Intermediate: 234 days and High: 181.5 days (p= 0.0042). Conclusions: We identify hypercalcemia (Ca≥10.5), leukocytosis (WBC> 11,000), lymphocytosis (ALC> 4000) and generalized LAD as poor prognostic factors in newly diagnosed ATLL. Using readily available information from basic laboratory and clinical parameters we propose a prognostic system to identify high risk individuals. Further validation will be needed using larger cohorts of this very rare disease. Disclosures Steidl: Aileron Therapeutics: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Stelexis Therapeutics: Consultancy, Current equity holder in private company, Membership on an entity's Board of Directors or advisory committees; Pieris Pharmaceuticals: Consultancy; Bayer Healthcare: Research Funding. Verma:stelexis: Current equity holder in private company; BMS: Consultancy, Research Funding; acceleron: Consultancy, Honoraria; Janssen: Research Funding; Medpacto: Research Funding. Janakiram:Takeda, Fate, Nektar: Research Funding. Shah:Celgene/BMS: Research Funding; Physicians Education Resource: Honoraria.
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- 2020
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11. Allogeneic Stem Cell Transplantation in a Large Urban Cohort of North-American Adult T-Cell Leukemia/Lymphoma
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L. Townsend Nugent, N. Chambers, Anjali Naik, Kira Gritsman, Fariha Khatun, Mendel Goldfinger, Noah Kornblum, Astha Thakkar, Kailyn Gillick, B. H. Ye, Carlo Palesi, R. Yusay, H. Noicely, Shafia Rahman, Murali Janakiram, Lizamarie Bachier-Rodriguez, Ioannis Mantzaris, D. Binakaj, Olga Derman, Ira Braunschweig, Zhu Cui, R. A. Sica, Felisha Joseph, Amit Verma, D. Adrianzen Herrera, R. Mathew, Randin Nelson, Ulrich Steidl, Amanda Lombardo, M. Abreu, Angelica D'Aiello, Aditi Shastri, Jennat Mustafa, and Richard Elkind
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medicine.medical_specialty ,business.industry ,medicine.medical_treatment ,Immunology ,Combination chemotherapy ,Cell Biology ,Hematology ,Hematopoietic stem cell transplantation ,Biochemistry ,MAC Regimen ,Fludarabine ,Transplantation ,Regimen ,Internal medicine ,medicine ,Progression-free survival ,business ,Busulfan ,medicine.drug - Abstract
Introduction: Adult T-cell leukemia lymphoma (ATLL) is a rare hematologic malignancy caused by human T-cell lymphotropic virus (HTLV-1) with dismal cure rates and poor response to conventional chemotherapy. Allogeneic Hematopoietic Stem Cell Transplantation (AlloSCT) is the only therapeutic option which may offer the chance of long-term remission and cures in a subset of patients. We sought to investigate the outcomes of transplantation in one of the largest cohorts in North America. Methods: A retrospective chart review study was conducted using the North-American ATLL and the Hematopoietic Precursor Cell transplantation databases at Montefiore Medical Center from 2011 to 2020. Variables collected include age, sex, ethnicity, ATLL subtype, molecular profile, previous treatments, conditioning regimens, type of transplant, immunosuppressive regimen, progression free survival (PFS) post-transplant and overall survival (OS) post-transplant. Results: Fourteen patients with ATLL who received an AlloSCT from 2011-2020 were identified. Fifty-seven percent (8/14) of patients were male. Seventy-one percent (10/14) of patients were African American and twenty-nine percent (4/14) were Hispanic. Median age was 51 years. Sixty-four percent (9/14) of patients had Stage IV disease at the time of diagnosis. Forty-three percent (6/14) patients had acute and fifty-seven percent (8/14) had lymphomatous ATLL. Almost all patients (92%) were treated initially with EPOCH combination chemotherapy. Twenty-eight percent (4/14) of patients received interferon/zidovudine as bridge-to-transplant. Fifty-seven percent (8/14) of patients achieved complete remission (CR) prior to AlloSCT, 7% (1/14) were in partial remission, and 28% (4/14) were relapsed or refractory. Forty-three percent (6/14) of patients received SCT from a matched-related donor (MRD), 36% (5/14) from a haplo-identical donor and 21% (3/14) from a matched-unrelated donor (MUD). Ninety-three percent (13/14) of patients received a reduced-intensity conditioning (RIC) regimen pre-transplantation. Seven percent (1/14) received a myeloablative conditioning (MAC) regimen. RIC regimens consisted of fludarabine with melphalan +/- anti-thymocyte globulin (ATG) or fludarabine with cyclophosphamide with total-body irradiation in doses less than 500 cGy. Patients receiving haplo-identical SCT also received post-transplant cyclophosphamide (PTCy) for prevention of graft vs host disease (GVHD). The MAC regimen used included busulfan with cyclophosphamide at myeloablative doses. Twenty-eight percent (4/14) of patients relapsed post-alloSCT with a median relapse-free survival of 6 months (range 4-18 months). The median OS of the whole cohort was 27 months (8-82 months). Graft-versus-host disease (GVHD) developed in 28% (4/14) percent of patients. The most common manifestation was skin GVHD. Fifty-percent (7/14) of the patients are surviving to-date. Transplant-related mortality (TRM) at day 100 was 21% (3/14) of patients. Causes of death were complex and included several diagnoses in certain patients. The most frequent diagnoses associated with death were infection (28%), graft failure (14%), GVHD (14%), veno-occlusive disease of the liver (VOD) (7%), disease progression (14%) and unknown due to patient lost to follow-up (14%). The main infectious events included fungal (2), bacterial (1), and COVID-19 (1) infection. Forty-three percent (6/14) of patients remain in complete remission to date. Conclusions: Allogeneic Stem Cell Transplantation offers long-term survival with a TRM of 21% in a disease with an inherently dismal prognosis. AlloSCT using several graft sources, is thus, a safe and well tolerated treatment modality and offers long term remissions. Disclosures Steidl: Pieris Pharmaceuticals: Consultancy; Aileron Therapeutics: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Bayer Healthcare: Research Funding; Stelexis Therapeutics: Consultancy, Current equity holder in private company, Membership on an entity's Board of Directors or advisory committees. Verma:BMS: Consultancy, Research Funding; acceleron: Consultancy, Honoraria; Janssen: Research Funding; Medpacto: Research Funding; stelexis: Current equity holder in private company. Janakiram:ADC Therapeutics, FATE therapeutics, TAKEDA pharmaceuticals: Research Funding.
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- 2020
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12. Dynamics of Leukocyte Subpopulations Reconstitution Predict Infection Propensity in a Multiethnic Real World Cohort Treated with Anti-CD19 CAR-T Cell Therapy (Axicabtagene-Ciloleucel)
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Stephen Peeke, Xiaoxin Ren, Lizamarie Bachier-Rodriguez, Carlo Palesi, Joan Uehlinger, Ioannis Mantzaris, Monika Paroder, Fariha Khatun, R. Alejandro Sica, Karen Fehn, Karen Wright, Alyssa DeCastro, Murali Janakiram, Shafia Rahman, Randin Nelson, Amit Verma, Richard Elkind, Susan Sakalian, Ira Braunschweig, Christopher Nishimura, Mendel Goldfinger, Yang Shi, Zhu Cui, Anjali Naik, Aditi Shastri, Kailyn Gillick, Hao Wang, Yoram A. Puius, Kira Gritsman, Astha Thakkar, Latoya Townsend-Nugent, Angelica D'Aiello, Noah Kornblum, Yanhua Wang, Margaret E McCort, Rachel Bartash, Donika Binakaj, Felisha Joseph, Rosmi Mathew, Ryann Quinn, Ulrich Steidl, Amanda Lombardo, Nicole Chambers, Michelly Abreu, Olga Derman, Xingxing Zang, and Nishi Shah
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medicine.medical_specialty ,Lymphocyte ,Immunology ,Biochemistry ,Refractory ,Internal medicine ,medicine ,Immunology and Allergy ,Transplantation ,business.industry ,Anti cd19 ,Dynamics (mechanics) ,Retrospective cohort study ,Cell Biology ,Hematology ,medicine.disease ,Lymphoma ,Cytokine release syndrome ,Pneumonia ,medicine.anatomical_structure ,Cohort ,Etiology ,Molecular Medicine ,CAR T-cell therapy ,business - Abstract
Background: Adoptive immunotherapy using CD19-targeted Chimeric Antigen Receptor T-cells (CAR-T) has revolutionized the treatment of relapsed/refractory diffuse large B-cell lymphoma (DLBCL). We have demonstrated the efficacy of FDA-approved axicabtagene ciloleucel (Yescarta) in a multiethnic New York City underserved population with 80% complete response (CR) rate in the first ten patients treated at our institution (Abbasi et al., 2020). There is limited data on the propensity of infections and lymphohematopoietic reconstitution after Day 30 (D30) following CAR-T cell therapy. In this study, we evaluated the prevalence and nature of infectious complications in an expanded cohort of DLBCL patients treated with CD19 CAR-T therapy and its association with the dynamics of leukocyte subpopulation reconstitution post-CAR-T cell therapy. Methods: We conducted a retrospective study of patients who received CAR-T therapy at our institution between 2018-2020. Variables collected include patient demographics, absolute neutrophil (ANC), lymphocyte (ALC) and monocyte counts (AMC) at Day 30, hematologic reconstitution (ANC≥ 1500/µL) at Day 90 (D90), presence or absence of infections after D30 by clinical and/or microbiological parameters. Associations between presence of infection and D30 ANC, ALC, AMC, ANC/ALC ratio, AMC/ALC ratio were assessed using Kruskal-Wallis test. Association between infection and hematologic reconstitution at D90 was done using Chi-square test. Kaplan-Meier curves with log-rank test were used to evaluate overall survival (OS) and progression-free survival (PFS). Results: Nineteen patients were evaluated in our study, consisting of 42% (8) Hispanic, 32% (6) Caucasian, 21% (4) African-American, and 5% (1) Asian subjects. Based on clinical and microbiologic data, 47% (9) developed an infection after D30 (infection group) while 53% (10) of subjects remained infection-free after D30 (non-infection group). The most common infection type observed was viral (11 patients) followed by bacterial (8 patients) and fungal (3 patients) (Table 1). Of 25 total infectious events, 44% (11) were grade 1 or 2 and 48% (12) were grade 3 with 10 being viral in etiology. Two deaths occurred due to an infectious process. Three patients tested SARS-CoV-2 positive and were hospitalized with COVID-19 pneumonia. Median OS and PFS has not been reached in either group. To determine the kinetics of lymphohematopoietic reconstitution and its association with infection risk, we evaluated the relationship between cytopenias and rates of infection after D30. Notably, compared to non-infection group, infection group had a higher median ALC (1000/µL vs 600/µL p=0.04), a lower median ANC/ALC ratio (1.4 vs 4.5 p1500/µL) at D90. We observed that only 22% (2) of patients had recovered ANC > 1500/µLin the infection group as opposed to 80% (8) in the non-infection group at D90 (p= 0.038). Rates of cytokine release syndrome (CRS) were comparable between the two groups (55.6% vs 70% p=0.52). Surprisingly, rates of immune-effector cell associated neurotoxicity syndrome (ICANS) was lower (55.6%) in the infection group compared to (90%) non-infection group (p=0.09). Fourteen of 19 patients had follow-up over one year, of which 8 (57%) remained in complete remission (CR). Conclusions: We demonstrate an infection rate of 47% (9) beyond D30 in patients undergoing CD19 CAR-T. Increased ALC, lower ANC/ALC and AMC/ALC ratios at D30 may be predictive of infectious complications. Median OS has not been reached in our cohort. Given the potential clinical impact, our observations should be corroborated using larger datasets. Disclosures Steidl: Pieris Pharmaceuticals: Consultancy; Bayer Healthcare: Research Funding; Stelexis Therapeutics: Consultancy, Current equity holder in private company, Membership on an entity's Board of Directors or advisory committees; Aileron Therapeutics: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Janakiram:ADC Therapeutics, FATE therapeutics, TAKEDA pharmaceuticals: Research Funding. Verma:BMS: Consultancy, Research Funding; acceleron: Consultancy, Honoraria; Janssen: Research Funding; stelexis: Current equity holder in private company; Medpacto: Research Funding.
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- 2020
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13. Efficacy of expressed breast milk alone or in combination with paracetamol in reducing pain during ROP screening: A randomized controlled trial
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Annely D'Lima, Maria Silveira, Kavita Sreekumar, and Anjali Naik
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business.industry ,Statistical difference ,Retinopathy of prematurity ,Breast milk ,medicine.disease ,Group A ,Group B ,Expressed breast milk ,law.invention ,Randomized controlled trial ,law ,Anesthesia ,Pediatrics, Perinatology and Child Health ,Medicine ,Residual pain ,business - Abstract
Introduction: Retinopathy of prematurity (ROP) has been widely acknowledged to be the primary cause of preventable childhood blindness in developing countries. However, the procedure for screening is extremely painful. In this study, we attempted to relieve the pain experienced by these babies using breast milk alone or in combination with oral paracetamol. Materials and Methods: A total of 120 preterm neonates were randomized into three groups: (Group A – control group = 40, Group B – breast milk group = 40, and Group C – oral paracetamol + breast milk = 40). Group B received 2 ml expressed breast milk (EBM) through a sterile syringe orally 2 min prior to procedure, Group C received syrup paracetamol, 15 mg/kg 30 min prior to procedure and EBM as in Group B. Pain experienced was measured by the premature infant pain profile (PIPP) score 20 s prior, during and 2 min after procedure. All procedures were video recorded. The video recorder and analyzer were both blinded to the intervention. Results: PIPP scores before the procedure (PIPP 1) in Groups A, B, and C were 4.09 ± 2.44, 3.25 ± 1.71, and 3.45 ± 2.20. Postprocedure PIPP score (PIPP 2) increased to 15.74 ± 2.42 in Group A, 15.44 ± 2.05 in Group B, and 15.83 ± 1.36 in Group C. There was no significant statistical difference in pain scores in the intervention groups (Groups B and C) compared to the control group (Group A), P = 0.724. PIPP scores recorded postprocedure in Groups A, B, and C were, 7.72 ± 3.43, 6.87 ± 3.46, and 7.85 ± 3.37 indicating residual pain. Conclusion: The procedure of ROP screening causes significant pain, with persistence of residual pain in premature neonates. However, there was no statistical difference in the pain scores noted in the intervention Groups B and C in comparison to the control Group A
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- 2021
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14. Use of Prediction Algorithms in Smart Homes
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Anjali Naik and Aditi Dixit
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Information Systems and Management ,Frequency of occurrence ,business.industry ,Computer science ,Tracing ,Computer security ,computer.software_genre ,Automation ,Computer Science Applications ,Prediction algorithms ,Risk analysis (engineering) ,Artificial Intelligence ,Home automation ,Component (UML) ,Key (cryptography) ,Architecture ,business ,computer - Abstract
Smart Homes' or 'Intelligent Homes' are capable in making smart or rational decisions and increase home automation. This is done to maximize inhabitant comfort and minimize operation cost. Tracing and predicting the mobility patterns and usages of devices by the inhabitant, sets a step towards the objective. The paper discusses in detail, the role of certain Prediction algorithms to bring about next event recognition. Further, an Episode Discovery helps in finding the frequency of occurrence of these events and targeting the particular events for automation. The effectiveness of the Prediction algorithms used is demonstrated ;making it clear how they prove to be a key component in the efficient implementation of a Smart Home architecture.
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- 2014
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15. Algorithm to Detect Fracture from OPG Images Using Texture Analysis
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Anjali Naik, K.P. Kaliyamurthie, T. Saravanan, Shubhangi Vinayak Tikhe, and Sadashiv Bhide
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021110 strategic, defence & security studies ,business.industry ,Computer science ,020209 energy ,Radiography ,Mandibular fracture ,0211 other engineering and technologies ,Mandible ,Image processing ,02 engineering and technology ,medicine.disease ,stomatognathic diseases ,stomatognathic system ,0202 electrical engineering, electronic engineering, information engineering ,medicine ,Fracture (geology) ,business ,Algorithm - Abstract
Mandibular fracture, also known as fracture of alower jaw is a break in the mandibular bone. Mandibularfracture occurs due to facial injuries. After clinical observations, doctors suggest to have a radiograph to view a position of thefracture. Orthopantamogram (OPG) is suggested to viewmandible fracture and directions of fracture lines. For anengineer, automating the process of locating fracture is achallenging task and he/she desires to make it a useful assistanceto medical practitioners. This paper presents an algorithm todetect location of a fracture from an OPG image. Fracture inmandible bone which is present in lower jaw is located usingproposed algorithm. Fracture line in an image is a break incontinuous texture. It is difficult to detect such a fracturebecause, these breaks are minor changes in intensities of grayscale structures in an image. The algorithm presented in thepaper makes use of image processing techniques and textureanalysis to detect fracture location from mandible bone which ispresent in the lower jaw. A mask is used to find a break inmandible structure. Detecting such a break in mandible structureis critical as it requires separating fracture from other featureslike teeth and gum area present in OPG image.
- Published
- 2016
- Full Text
- View/download PDF
16. Algorithm to Identify Enamel Caries and Interproximal Caries Using Dental Digital Radiographs
- Author
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K.P. Kaliyamurthie, Anjali Naik, Shubhangi Vinayak Tikhe, Sadashiv Bhide, and T. Saravanan
- Subjects
Computer science ,business.industry ,Radiographic Films ,Radiography ,030206 dentistry ,02 engineering and technology ,Image segmentation ,Caries lesion ,stomatognathic diseases ,03 medical and health sciences ,0302 clinical medicine ,stomatognathic system ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Enamel caries ,business ,Algorithm - Abstract
Diagnosis of dental diseases is conventionally carried out with the help of radiographic films. As a result of noise and other environmental interferences, use of radiographic films introduces errors. This paper presents an algorithm to use digital periapical radiographic images to detect enamel caries and interproximal caries. This will help dental practitioners to identify caries lesion with ease. This study makes use of MATLAB and it performs caries detection in three stages. First stage is the preprocessing phase where rotation of an image is performed, if necessary. Histogram study of the image is carried out to understand the intensity of carries. The second phase is image segmentation where individual tooth area is separated. Third phase is the identification phase where caries are detected. If caries are not detected, tooth is definitely healthy.
- Published
- 2016
- Full Text
- View/download PDF
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