Publications by authors named "E S Deutsch"

Background And Purpose: Deep-learning-based automatic segmentation is widely used in radiation oncology to delineate organs-at-risk. Dual-energy CT (DECT) allows the reconstruction of enhanced contrast images that could help with manual and auto-delineation. This paper presents a performance evaluation of a commercial auto-segmentation software on image series generated by a DECT.

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We describe a new release of the PeptideAtlas proteomics spectral resource (build 2024-03), providing a sequence coverage of 79.5% at the canonical protein level, matched mass spectrometry spectra, and experimental evidence identifying 3382 and 536 phosphorylated serine and threonine sites with false localization rates of 1% and 5.3%, respectively.

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Over the last decade, the annual Immunorad Conference, held under the joint auspicies of Gustave Roussy (Villejuif, France) and the Weill Cornell Medical College (New-York, USA) has aimed at exploring the latest advancements in the fields of tumor immunology and radiotherapy-immunotherapy combinations for the treatment of cancer. Gathering medical oncologists, radiation oncologists, physicians and researchers with esteemed expertise in these fields, the Immunorad Conference bridges the gap between preclinical outcomes and clinical opportunities. Thus, it paves a promising way toward optimizing radiotherapy-immunotherapy combinations and, from a broader perspective, improving therapeutic strategies for patients with cancer.

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We recently demonstrated that a heterogeneous tumor irradiation strategy, combining high-dose and low-dose radiotherapy (RT) within the same tumor volume, can synergize with immunotherapy in mice. Our findings indicate that heterogeneous RT doses may promote the spatial diversification of the antitumor immune response. Spatial fractionation of the RT dose has the potential to enhance the therapeutic index of RT/IO combinations, particularly in scenarios where irradiating the entire tumor volume is unfeasible or excessively harmful to the patient.

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Article Synopsis
  • The Human Proteome Project (HPP) aims to identify every protein-coding gene’s isoform and integrate proteomics into studies of human health and disease.
  • Major updates include the retirement of neXtProt as the knowledge base, with UniProtKB now serving as the reference proteome, and GENCODE providing the target protein list.
  • Recent data shows that 93% of protein-coding genes have been expressed, leaving 1,273 non-expressed proteins, along with the introduction of a new scoring system for functional annotation of proteins.
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