Indrajyoti Indra, Sergey M. Troyanovsky et al. (Northwestern University Feinberg School of Medicine) show that two δ-catenins, p120 and plakophilin-4, promote distinct cadherin clustering modes, α-catenin–dependent and α-catenin–independent, respectfully, thereby generating different types of adherens junctions.
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Three centuries after Newton described the universe through fixed laws and deterministic equations, science may be entering an entirely new phase.
According to biochemist and complex systems theorist Stuart Kauffman and computer scientist Andrea Roli, the biosphere is not a predictable, clockwork system. Instead, it is a self-organising, ever-evolving web of life that cannot be fully captured by mathematical models.
Organisms reshape their environments in ways that are fundamentally unpredictable. These processes, Kauffman and Roli argue, take place in what they call a “Domain of No Laws.”
This challenges the very foundation of scientific thought. Reality, they suggest, may not be governed by universal laws at all—and it is biology, not physics, that could hold the answers.
Tap here to read more.
Accurate interpretation of gynecologic pelvic MRI depends on tailored protocols, thorough anatomic knowledge, and a systematic lesion-based approach. This review outlines classification by lesion origin and tissue composition.
MRI is used routinely in patients with gynecologic conditions due to its superior soft-tissue contrast and multiplanar capability. It can provide a detailed assessment of pelvic anatomy, lesion origin, tissue characteristics, and disease extent. Its indications include (a) characterizing US-indeterminate adnexal masses, (b) evaluating the cause of pelvic pain and abnormal uterine bleeding, © mapping symptomatic uterine leiomyomas and differentiating them from uterine sarcomas, (d) staging gynecologic cancers, and (e) addressing complex congenital müllerian duct anomalies. Additional indications include evaluating for pelvic floor dysfunction, fistulas, or placental abnormalities.
This article aims to enhance the interpretation of female pelvic MRI for gynecologic conditions. After outlining patient preparation, tailored MRI protocols, and the normal female pelvic anatomy, a step-by-step approach to interpretation is presented, focusing on evaluating lesion origin, lesion tissue composition, and solid tissue morphology (Fig 1). The review also emphasizes the importance of incorporating the patient’s clinical history to narrow the differential diagnosis and the role of disease-specific structured reporting in improving communication (Fig 1).
tuberculosis infection?
Philana Ling Lin & team report on SIV/ART/TB models, finding antiretroviral treatment reduces pulmonary TB pathology, yet does not prevent extrapulmonary spread of TB.
1Department of Pediatrics, Children’s Hospital of Pittsburgh of the University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
2Center for Vaccine Research.
3Department of Microbiology and Molecular Genetics, and.
4Division of Laboratory Animal Research, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
GUTImage from the paper by Wang et al entitled.
via.
GastricCancer.
Background Gastric cancer (GC) ranks among the most prevalent lethal tumours globally. Cancer-associated fibroblasts (CAFs) are pivotal in creating an immunosuppressive tumour microenvironment (TME) in GC.
Objective Identifying a critical subpopulation of CAFs in promoting an immunosuppressive TME and enabling immune evasion, which may influence therapeutic effectiveness of immune checkpoint inhibitors (ICIs) for GC.
New in practicalRO.
Standardization in clinical workflows is widely recognized as a driver of safety, efficiency, and consistency. The challenge for modern practice is determining the appropriate degree and rigidity of standardization, especially as automation and adaptive technologies reshape workflows.
Editor’s note: raised a $100m Series A in September and is rumored to have reached a unicorn valuation. They have all-star advisors from Geoff Hinton to Yann Lecun and team of deep domain experts to tackle this next frontier in AI applications.
