Publications by authors named "A Rode"

Study Objective: To assess the feasibility of percutaneous radiofrequency ablation (PRFA) of anterior abdominal wall endometriosis (AWE) lesions and to describe its efficacy on clinical symptoms and on the volume of the lesion.

Design: Interventional, prospective, noncomparative, phase 1 clinical trial.

Setting: Patients consulting at the multidisciplinary endometriosis expert center at Croix Rousse University Hospital (Hospices Civils de Lyon).

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meroterpenoids are fungal derived hybrid natural product class containing a 1,2,4-trisubstituted benzene ring and a polycyclic terpenoid part. The representatives applanatumol E, H and I, lingzhilactone B, and meroapplanin B share the same bicyclic lactone moiety connected to the arene. Employing photo-Fries rearrangements as the key step enabled a general entry to these natural products.

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Azobenzene analogues of the tubulin polymerisation inhibitor combretastatin A4 (PSTs) were previously developed to optically control microtubule dynamics in living systems, with subsecond response time and single-cell spatial precision, by reversible photoswitching of their bioactivity with near-UV/visible light. First-generation PSTs were sufficiently potent and photoswitchable for use in live cells and embryos. However, the link between their seconds-scale and hours-scale bioactivity remained untested.

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The total synthesis of the meroterpenoid ganoapplanin, an inhibitor of T-type voltage-gated calcium channels, is reported. Our synthetic approach is based on the convergent coupling of a readily available aromatic polyketide scaffold with a bicyclic terpenoid fragment. The three contiguous stereocenters of the terpenoid fragment, two of which are quaternary, were constructed by a diastereoselective, titanium-mediated iodolactonization.

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Article Synopsis
  • The 2023 SFR data challenge aimed to encourage researchers to create AI models for detecting pancreatic masses and determining if they are benign or malignant using abdominal CT scans.
  • A total of 1,037 CT examinations were gathered from 18 French centers, organized into training and evaluation sets, with teams composed of radiologists, data scientists, and engineers participating in the analysis.
  • The challenge involved 10 teams and showed promising results, with AI demonstrating potential in identifying pancreatic lesions from real data, although distinguishing between benign and malignant masses remains challenging.
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