Shrimp allergen extract immunotherapy induces prolonged immune tolerance in a gastro-food allergy mouse model.

Food allergies are a global health problem that continues to grow annually, with a prevalence of more than 10%. Shrimp allergy is the most common and life-threatening allergy. There is no cure for food allergies, but shrimp allergen extract (SAE) offers promise as a treatment through allergen-specific immunotherapy (AIT).

Prognostic significance of lymph node metastasis of soft tissue sarcoma of the extremities. National cancer institute experience.

Background And Objective: Lymph node metastasis (LNM) in soft tissue sarcoma (STS) of the extremities is relatively rare. We aimed to evaluate the prognosis and the survival of patients with LNM and correlate them to the pattern of metastasis.

Methods: A retrospective study of patients diagnosed with STS of the extremities from 2015 to 2019.

Indian Shot ( L). Leaves Provide Valuable Insights into the Management of Inflammation and Other Associated Disorders Offering Health Benefits.

Background: Throughout history, plants have played a crucial role in advancing medicinal treatments by providing a diverse range of compounds for the development of innovative therapies. L. a tropical herb of the Cannaceae family, also known as Indian shot, has a rich history of traditional use in treating ailments like inflammation, malaria, dysentery, fever, dropsy, and diarrhea.

Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability, Composability, and Decomposability from Anatomy via Self-Supervision.

Humans effortlessly interpret images by parsing them into part-whole hierarchies; deep learning excels in learning multi-level feature spaces, but they often lack explicit coding of part-whole relations, a prominent property of medical imaging. To overcome this limitation, we introduce Adam-v2, a new self-supervised learning framework extending Adam [79] by explicitly incorporating part-whole hierarchies into its learning objectives through three key branches: (1) Localizability, acquiring discriminative representations to distinguish different anatomical patterns; (2) Composability, learning each anatomical structure in a parts-to-whole manner; and (3) Decomposability, comprehending each anatomical structure in a whole-to-parts manner. Experimental results across 10 tasks, compared to 11 baselines in zero-shot, few-shot transfer, and full fine-tuning settings, showcase Adam-v2's superior performance over large-scale medical models and existing SSL methods across diverse downstream tasks.