Veterans' experiences of somatic experiencing and prolonged exposure therapies for post-traumatic stress disorder: A qualitative analysis.

Purpose: Despite the proliferation of research into evidence based treatment for military PTSD there is little evidence for treatment assignment criterion and military based PTSD still demonstrates low remission rates.

Method: Thirty participants in a randomized control trial comparing Prolonged Exposure (PE) and Somatic Experiencing (SE) were interviewed on their experiences in therapy and their responses assessed using a descriptive phenomenological analysis approach to delineate the central tenets of the two therapeutic approaches.

Results: Results indicated that participants from both therapies covered themes of the experience of change, the experience of the therapeutic relationship and the therapeutic process.

Harnessing the tumor microenvironment: targeted cancer therapies through modulation of epithelial-mesenchymal transition.

The tumor microenvironment (TME) is integral to cancer progression, impacting metastasis and treatment response. It consists of diverse cell types, extracellular matrix components, and signaling molecules that interact to promote tumor growth and therapeutic resistance. Elucidating the intricate interactions between cancer cells and the TME is crucial in understanding cancer progression and therapeutic challenges.

Addressing Factors that Impact Sexual Well-Being and Intimacy in IBD Patients.

Purpose Of Review: This review details the pathophysiologic mechanisms from medical, surgical to psychosocial factors that illustrate how and why sexual health and intimacy are impacted in IBD.

Recent Findings: Recent clinical surveys of practicing gastroenterologists document that clinicians should routinely address sexual health when addressing patient reported outcomes but very few actually make direct inquiry or suggest management into this important aspect of human life. Example 'patter' are suggested to clinicians to demonstrate how to introduce the subject of sexual intimacy and well-being and engender patient trust on this sensitive topic.

Deep learning on CT scans to predict checkpoint inhibitor treatment outcomes in advanced melanoma.

Immune checkpoint inhibitor (ICI) treatment has proven successful for advanced melanoma, but is associated with potentially severe toxicity and high costs. Accurate biomarkers for response are lacking. The present work is the first to investigate the value of deep learning on CT imaging of metastatic lesions for predicting ICI treatment outcomes in advanced melanoma.