Institution
Hebron University
Education•Hebron, Palestinian Territory•
About: Hebron University is a education organization based out in Hebron, Palestinian Territory. It is known for research contribution in the topics: Population & Cancer. The organization has 2714 authors who have published 4180 publications receiving 163736 citations.
Papers published on a yearly basis
Papers
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TL;DR: These data suggest a possible OS benefit with atezo+T-DM1 in PD-L1+ pts, however, given the small number of OS events, the short follow-up and lack of statistical power, further study is necessary.
43 citations
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TL;DR: Treatment with abiraterone acetate and prednisone for metastatic castration-resistant prostate cancer increased survival in all patients in the study regardless of pain, prostate-specific antigen levels at the start of treatment, and Gleason score at primary diagnosis.
43 citations
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TL;DR: A portable PoC device based on lens-free interferometric microscopy (LIM) that employs high performance nanoplasmonics and custom bioprinted microarrays and is capable of direct label-free bacteria quantification and has enabled accurate categorization of sepsis patients from control groups without false positives/negatives.
Abstract: Existing clinical methods for bacteria detection lack speed, sensitivity, and, importantly, point-of-care (PoC) applicability. Thus, finding ways to push the sensitivity of clinical PoC biosensing technologies is crucial. Here we report a portable PoC device based on lens-free interferometric microscopy (LIM). The device employs high performance nanoplasmonics and custom bioprinted microarrays and is capable of direct label-free bacteria (E. coli) quantification. With only one-step sample handling we offer a sample-to-data turnaround time of 40 min. Our technology features detection sensitivity of a single bacterial cell both in buffer and in diluted blood plasma and is intrinsically limited by the number of cells present in the detection volume. When employed in a hospital setting, the device has enabled accurate categorization of sepsis patients (infectious SIRS) from control groups (healthy individuals and noninfectious SIRS patients) without false positives/negatives. User-friendly on-site bacterial c...
43 citations
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TL;DR: The treatment effect of ocrelizumab versus IFN β-1a, measured by clinical and MRI outcomes, was maintained across most of the subgroups and strata of interest, and the pattern of treatment benefit was consistent with that from the pooled OPERA studies.
Abstract: The efficacy and safety of ocrelizumab, versus interferon (IFN) β-1a, for the treatment of relapsing multiple sclerosis (RMS) from the identically designed OPERA I (NCT01247324) and OPERA II (NCT01412333) phase III studies has been reported; here we present subgroup analyses of efficacy endpoints from the pooled OPERA I and OPERA II populations. Patients with RMS were randomized to either ocrelizumab 600 mg administered by intravenous infusion every 24 weeks or subcutaneous IFN β-1a 44 µg three times per week throughout the 96-week treatment period. Relapse, disability, and MRI outcomes were analyzed for predefined and post hoc subgroups based on demographic and disease characteristics along with prior treatment using appropriate statistical tests to determine the treatment effect in subgroups and treatment-by-subgroup interactions. The significant treatment benefit of ocrelizumab, versus IFN β-1a, observed in the overall OPERA I and OPERA II pooled populations was maintained across most subgroup strata for all endpoints, including annualized relapse rate, disability progression, and MRI outputs. The treatment effect of ocrelizumab versus IFN β-1a, measured by clinical and MRI outcomes, was maintained across most of the subgroups and strata of interest, and the pattern of treatment benefit across all subgroups was consistent with that from the pooled OPERA studies.
43 citations
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TL;DR: The proposed supervised approach for detecting new T2-w lesions using features from image intensities, subtraction values, and deformation fields (DF) shows the benefits of using DF operators as features to train a supervised learning model.
43 citations
Authors
Showing all 2723 results
Name | H-index | Papers | Citations |
---|---|---|---|
José Baselga | 156 | 707 | 122498 |
M. I. Martínez | 134 | 1251 | 79885 |
Josep Tabernero | 111 | 803 | 68982 |
Jordi Rello | 103 | 694 | 35994 |
Xavier Montalban | 95 | 762 | 52842 |
James M. Downey | 91 | 381 | 29506 |
Enriqueta Felip | 83 | 622 | 53364 |
Joaquim Bellmunt | 82 | 660 | 41472 |
Joan Montaner | 80 | 489 | 22413 |
Marc Miravitlles | 76 | 651 | 25671 |
David H. Salat | 75 | 241 | 36779 |
Eduard Gratacós | 75 | 531 | 20178 |
Alex Rovira | 74 | 356 | 19586 |
Ramon Bataller | 72 | 283 | 19316 |
Maria Buti | 71 | 493 | 26596 |