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Mashup Score: 6
We found some evidence that a universal online programme for the prevention of anxiety, depression, and substance use delivered in early adolescence is effective in reducing the use and harmful use of alcohol into early adulthood. However, confidence in these findings is reduced due to baseline differences, and we did not see a difference in the predicted probability of drinking between groups at 72-month follow-up. These findings suggest that a universal prevention programme in adolescence is not sufficient to have lasting effects on mental health and substance use disorders in the long term.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet
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Mashup Score: 0
Acute leukaemia includes several life-threatening malignancies, mainly acute myeloid leukaemia (AML) and acute lymphocytic leukaemia (ALL). Although long-term patient outcomes depend on disease-related genomic factors that translate into treatment resistance and relapse, early mortality remains a substantial concern, especially in people with acute promyelocytic leukaemia (APL). Despite genomic or flow-cytometry diagnostics, traditional morphological examination remains the primary method of diagnosis.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet
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Mashup Score: 3
AI-PAL allowed for accurate diagnosis of the three main acute leukaemia subtypes. Based on ten simple laboratory parameters, its broad availability could help guide initial therapies in a context where cytological expertise is lacking, such as in low-income countries.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet
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Mashup Score: 2
Our results suggest that age, chronic comorbidities, and not being fully vaccinated might be greater risk factors for severe COVID-19 outcomes in patients with IMIDs than the use of IMMs or the IMIDs themselves. Overall, there is a need to take age and comorbidities into consideration when developing COVID-19 guidelines for patients with IMIDs. Further research is needed for specific IMIDs (including IMID severity at the time of SARS-CoV-2 infection) and IMMs (considering dosage and timing before a patient’s first COVID-19 infection).
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet
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Mashup Score: 2Large language model integration in Philippine ophthalmology: early challenges and steps forward - 18 day(s) ago
The integration of large language models (LLMs) in ophthalmology holds innovative potential, as highlighted by Bjorn K Betzler and colleagues.1 We agree that LLMs in ophthalmology is a domain meriting exploration. Beyond technical and regulatory limitations in real-world implementation, unique and important barriers to LLM integration exist in low-income and middle-income countries (LMICs), such as the Philippines, which hinder its applicability.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet
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Mashup Score: 10
With the rapid growth of interest in and use of large language models (LLMs) across various industries, we are facing some crucial and profound ethical concerns, especially in the medical field. The unique technical architecture and purported emergent abilities of LLMs differentiate them substantially from other artificial intelligence (AI) models and natural language processing techniques used, necessitating a nuanced understanding of LLM ethics. In this Viewpoint, we highlight ethical concerns stemming from the perspectives of users, developers, and regulators, notably focusing on data privacy and rights of use, data provenance, intellectual property contamination, and broad applications and plasticity of LLMs.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet
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Mashup Score: 23Foresight—a generative pretrained transformer for modelling of patient timelines using electronic health records: a retrospective modelling study - 2 month(s) ago
Foresight is a general-purpose model for biomedical concept modelling that can be used for real-world risk forecasting, virtual trials, and clinical research to study the progression of disorders, to simulate interventions and counterfactuals, and for educational purposes.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet
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Mashup Score: 0Foresight—generative pretrained transformer for the prediction of patient timelines - 2 month(s) ago
The reconstruction of patient paths—ie, their temporally ordered diagnoses, diagnostic procedures, and the resulting treatments—has shown great potential for gaining new insights in real-world medical practice. Reconstructing patient trajectories from electronic health records (EHRs) is not a new discipline; early attempts go as far back as the late 1990s.1 Since then, the field has developed rapidly. Prognosis of symptoms, diagnoses, treatment response, death, or other events has become a field of active research.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet
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Mashup Score: 6Foresight—a generative pretrained transformer for modelling of patient timelines using electronic health records: a retrospective modelling study - 2 month(s) ago
Foresight is a general-purpose model for biomedical concept modelling that can be used for real-world risk forecasting, virtual trials, and clinical research to study the progression of disorders, to simulate interventions and counterfactuals, and for educational purposes.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet
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Mashup Score: 0Retraction remedy: a resource for transparent science - 2 month(s) ago
Open science and Artificial intelligence (AI) tools have led to improving scientific discourse in an unexpected way. With the help of AI, last month a research misconduct sleuth, Sholto David, found inconsistencies in 58 studies authored by influential scientists at the Dana-Farber Cancer Institute, resulting in retractions of six papers, and corrections in 31 manuscripts. Retractions resulting from image or data fabrications are on the rise and could be heightened at times of global emergency. During the COVID-19 pandemic, suspected data fabrication resulted in a number of retracted studies, bringing into question the veracity of data in research, at a time when research integrity was key for maintaining public trust.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet
NEW Research: cluster-RCT on the effectiveness of a universal, school-based, online programme for the prevention of anxiety, depression, and substance misuse among adolescents in Australia to 72-months. @lou_birrell @MTeesson Read it here: https://t.co/AhOZxUBgjm https://t.co/6Mnjg8ygrp