Publications by authors named "P Lambin"

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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Background: Mammographic imaging is essential for breast cancer detection and diagnosis. In addition to masses, calcifications are of concern and the early detection of breast cancer also heavily relies on the correct interpretation of suspicious microcalcification clusters. Even with advances in imaging and the introduction of novel techniques such as digital breast tomosynthesis and contrast-enhanced mammography, a correct interpretation can still be challenging given the subtle nature and large variety of calcifications.

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Article Synopsis
  • MRI is essential for diagnosing and monitoring multiple sclerosis (MS), but standard scans often have limited resolution due to thick slices, which affects automated analysis.
  • This study introduces a single-image super-resolution (SR) reconstruction framework using convolutional neural networks (CNN) to enhance MRI resolution in individuals with MS.
  • The results show that the SR method significantly improves MRI reconstruction accuracy and lesion segmentation, making it a valuable tool for analyzing low-resolution MRI data in clinical settings.
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Purpose: The value of integrating clinical variables, radiomics, and tumor-derived cell-free DNA (cfDNA) for the prediction of survival and response to chemoradiation of patients with resectable esophageal adenocarcinoma is not yet known. Our aim was to investigate if radiomics and cfDNA metrics combined with clinical variables can improve personalized predictions.

Methods And Materials: A cohort of 111 patients with resectable esophageal adenocarcinoma from 2 centers treated with neoadjuvant chemoradiation therapy was used for exploratory retrospective analyses.

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Clostridium butyricum has emerged as a promising candidate for both industrial and medical biotechnologies, underscoring the key pursuit of stable gene overexpression in engineering C. butyricum. Unlike antibiotic-selective vectors, native-cryptic plasmids can be utilized for antibiotic-free expression systems in bacteria but have not been effectively exploited in C.

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