Science Diffusion’s Post

Read the Nobel Laureate Dr John Robin Warren's obituary Neither Dr Marshall nor Dr Warren could boast a track record in research. Dr Barry Marshall was still at the beginning of his career and Dr Warren, focused on his routine hospital pathology, had originally displayed only limited interest in research. As he later remarked, “I did write a paper on using cane toads for pregnancy testing…but by the time I had written my paper…biochemical test kits were available and suddenly the whole lot was out of date.” #MedicalResearch #NobelPrize #Pathology #HealthcareInnovation #MedicalScience #HelicobacterPylori #GastricUlcers #ScientificDiscovery #InMemoriam #HealthcarePioneers #PublicHealth #MedicalHistory #InspiringLives #GlobalHealth #Legacy

Excited to share my latest mini survey research paper published in the Journal of Biomedical Research & Environmental Sciences, entitled "Machine Learning Model for Chronic Disease Prediction". Read the full article here: https://lnkd.in/gWuWSdUt The study explores the use of machine learning models to predict chronic diseases, addressing major public health challenges. It underscores the importance of early detection and effective healthcare strategies.

This paper was developed under the auspices of the Sterring Committee of the National Academy of Medicine (NAM)'s project of a draft Code of Conduct framework for use in the development and application on AI in health, health care & biomedical sciences. https://lnkd.in/evuhGBEe

Adenomyosis and Infertility The text discusses the relationship between adenomyosis and infertility, emphasizing the need for further research to better understand the pathophysiology of this condition and its impact on fertility. It mentions the association of adenomyosis with reduced live birth rates and increased miscarriages after assisted reproductive techniques, as well as potential pregnancy and neonatal complications. The study by Rees et al. revealed differences in uterine peristalsis in adenomyosis patients compared to controls, particularly during the luteal phase. Issues raised include the exclusion of endometriosis, the challenge of distinguishing adenomyosis from leiomyomas, and the influence of factors like parity and age on uterine contractile activity. The text underscores the need for more comprehensive and rigorous future studies to deepen the understanding of these issues.  #medicinareproductiva #ciencia #investigación #EquipoJuanaCrespo

Interesting paper that explores the interplay between oral and genetic histories in India and shows the utility of bringing together different knowledge domains to understand population origins with the case of South-western India. My nephew José Antonio Urbán one of the co-authors!

#frailty #aging #metabolism #medicine #medicalsciences #healthcare https://lnkd.in/gyyztfhB Summary On average, #aging is associated with unfavorable changes in cellular metabolism, which are the processes involved in the storage and expenditure of energy. However, #metabolic #dysregulation may not occur to the same extent in all older individuals as people age at different rates. Those who are aging rapidly are at increased risk of adverse health outcomes and are said to be “frail.” Here, we explore the links between frailty and metabolism, including metabolic contributors and consequences of frailty. We examine how metabolic diseases may modify the degree of frailty in old age and suggest that frailty may predispose toward metabolic disease. Metabolic interventions that can mitigate the degree of frailty in people are reviewed. New treatment strategies developed in animal models that are poised for translation to humans are also considered. We suggest that maintaining a youthful metabolism into older age may be protective against frailty.

It's happening--addressing clinician burnout with the help of AI tools like this one is making professions in health care more sustainable. #healthAI #responsibleAI

Time to brush up on marginal effects. Health Services Research encourages authors to report marginal effects instead of odds ratios for logistic regression with a binary outcome. Specifically, in the instructions for authors, Manuscript Formatting and Submission Requirements, section 2.4.2.2 Structured abstract and keywords, it reads, "Reporting of odds ratios is discouraged (marginal effects preferred) except in case-control studies." HSR's decision is due to increasing recognition that odds ratios are confusing to non-researchers and that researchers often misinterpret them. Odds ratios are also of limited utility in meta-analyses. Marginal effects, which represent the difference in the probability of a binary outcome between comparison groups, are more straightforward to interpret and compare. Below, we illustrate the difficulties in interpreting odds ratios, outline the conditions that must be met for odds ratios to be compared directly, and explain how marginal effects overcome these difficulties. https://lnkd.in/exe65THY

I just finished reading a "Technology Review" (MIT's quasi-technical magazine for a broader audience of readers) article on the ethics of creating an AI program for deciding end-of-life decisions for patients who cannot communicate their own wishes. The article discusses using family members to make medical decisions for the unconscious patients, but those opinions frequently take different positions. My reason for posting this comment is a personal combination of being old and being in ill health, which might put me in the position described above. I suggest to all readers who are in this position that they inform their family members very strongly what their own feelings are about end-of-life decisions. Hopefully, this might help avoid confusions when and if the time comes that such a decision must be made for themselves.