Daily Med Bites - 14/05/2025

Dear reader, here are the summaries of some of the latest papers from PubMed.

Endometriosis:

• Source: Early diagnosis of endometriosis improves patients’ quality of life.

• Source: The study highlights that individuals with endometriosis experience cognitive difficulties associated with fatigue, pain, and depressive symptoms, and explores how treatments might affect these associations.

• Source: Dienogest is as effective as combined oral contraceptives for treating endometriosis but may offer better tolerability and quality of life improvements.

• Source: The study highlights that ovarian clear cell carcinoma (OCCC) patients with a history of endometriosis have distinct clinicopathologic characteristics and improved survival outcomes compared to those without endometriosis.

• Source: Long-term follow-up shows that patients undergoing colorectal surgery for deep endometriosis experience persistent gastrointestinal dysfunction, as indicated by elevated LARS scores and reduced GIQLI, even 5 years postoperatively.

• Source: The study demonstrates that carvacrol effectively reduces endometriosis lesion size in mice, enhances immune response, and exhibits anti-inflammatory and antioxidant properties in human ovarian endometriotic stromal cells, suggesting it could be a promising treatment for endometriosis.

• Source: The take-home message of this paper is that integrating multi-omics technologies can identify novel biomarkers for endometrial cancer, improving both research understanding and clinical assessment.

• Source: Ovarian endometriotic cysts reduce the efficacy of HIFU treatment in patients with adenomyosis.

Cardiovascular Care:

• Source: AI is transforming cardiovascular care through various models, and clinicians must play active roles in developing, adopting, evaluating, and ensuring ethical use of AI technologies.

• Source: AI has significant potential to improve cardiovascular care through better diagnosis, therapy, and prevention, but its development faces methodological, ethical, and organizational challenges that must be addressed for responsible integration into clinical practice.

• Source: AI integration in head and neck oncology is limited by clinician mistrust, algorithm biases, data quality issues, and ethical concerns; addressing these through transparency, education, and regulation is crucial for responsible AI use.

• Source: CTCA offers significant diagnostic and prognostic benefits in patients with suspected coronary artery disease, supported by growing evidence and enhanced by artificial intelligence, leading to better therapeutic choices and resource savings.

• Source: The take-home message of this paper is that flexible bio-integrated sensors offer promising real-time monitoring solutions for cardiovascular health, with potential to improve continuous hemodynamic assessment and CVD prevention through advanced engineering and AI integration.

• Source: The take-home message of this paper is that AI technology significantly enhances efficiency, accuracy, and personalization in pharmaceutical formulation design and Drug Delivery Systems, promising a revolutionary impact on drug development and regulatory practices.

• Source: The take-home message of this paper is that diabetic patients generally accept AI devices for retinopathy screening, with acceptance influenced by factors such as trust in technology and perceived benefits.

• Source: The paper’s main contribution is highlighting how Digital Twins, integrated with technologies like IoT, IoMT, AI, ML, and AR, are transforming hospital and clinic operations by enabling predictive maintenance and optimizing medical device design in the healthcare sector.

Liver Disease:

• Source: Ultrasonic attenuation parameter imaging can effectively assess metabolic dysfunction-associated steatotic liver disease in overweight and obese patients, offering a non-invasive diagnostic tool.

• Source: The paper’s main contribution is introducing a novel methodology to create ultrasound phantoms that mimic fat vesicle sizes in metabolic dysfunction-associated steatotic liver disease, enabling more accurate validation of quantitative ultrasound liver fat quantification tools.

• Source: Contrast-enhanced ultrasound can accurately characterize focal liver lesions based on vascular patterns and washout characteristics, offering improved sensitivity compared to traditional methods.

• Source: The take-home message of this paper is that shear wave elastography (SWE) demonstrates high diagnostic accuracy for assessing liver fibrosis, outperforming conventional imaging techniques.

That’s enough for today, see you tomorrow!

As always, these extremely reduced summaries may be incomplete or inexact in some aspects. Make sure to always read the papers of interest.

If you have any suggestion or feedback, I would appreciate it very much if you could tell me by replying to this email!