Publications by authors named "M W Erdmann"
Accurate melanoma diagnosis is crucial for patient outcomes and reliability of AI diagnostic tools. We assess interrater variability among eight expert pathologists reviewing histopathological images and clinical metadata of 792 melanoma-suspicious lesions prospectively collected at eight German hospitals. Moreover, we provide access to the largest panel-validated dataset featuring dermoscopic and histopathological images with metadata.
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- Climate change is causing shifts in animal habitats, particularly affecting the distribution of threatened marine species like whale sharks.
- Projections indicate that by 2100, whale sharks could lose more than 50% of their core habitat in some areas, with significant geographic shifts that could place them in closer proximity to large ships.
- The increase in whale shark interaction with shipping is expected to be dramatically higher under high emission scenarios compared to sustainable development, highlighting the urgency for better climate-threat predictions in conservation strategies for endangered marine life.
Article Synopsis
- The study focuses on detecting multijet signatures from proton-proton collisions at a high energy of 13 TeV, analyzing a dataset totaling 128 fb^{-1}.
- A special data scouting method is utilized to pick out events with low combined momentum in jets.
- This research is pioneering in its investigation of electroweak particle production in R-parity violating supersymmetric models, particularly examining hadronically decaying mass-degenerate higgsinos, and it broadens the limits on the existence of R-parity violating top squarks and gluinos.
Article Synopsis
- - Cutaneous T-cell lymphomas (CTCLs) are a type of non-Hodgkin lymphoma where malignant T cells invade the skin, causing lesions that resemble other skin conditions like atopic dermatitis and psoriasis.
- - A study analyzed 69 skin tissue samples using multi-antigen imaging to distinguish CTCL from atopic dermatitis and psoriasis by examining the protein abundance and spatial organization of the cells.
- - The findings showed unique patterns in CTCL tissue organization, with increased local entropy and specific T-cell clustering, which could improve CTCL diagnosis and enhance understanding of the disease mechanisms.
The first search for soft unclustered energy patterns (SUEPs) is performed using an integrated luminosity of 138 fb^{-1} of proton-proton collision data at sqrt[s]=13 TeV, collected in 2016-2018 by the CMS detector at the LHC. Such SUEPs are predicted by hidden valley models with a new, confining force with a large 't Hooft coupling. In events with boosted topologies, selected by high-threshold hadronic triggers, the multiplicity and sphericity of clustered tracks are used to reject the background from standard model quantum chromodynamics.
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