IntroductionThe healthcare system in the Arab world is gradually adapting to the management of transthyretin amyloidosis (ATTR) through various initiatives aimed at improving diagnosis, treatment, and overall patient
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Model Checking in Survival Parametric Models (Comprehensive Guide)
Is Kaplan Meier the answer in EVERY survival analysis?Actually no!Parametric models assume a particular mathematical formula for how survival times are distributed. This explanation focuses on tools called
In Medicine, Machines Can Learn, But Can They Understand? The Essential Role of Experienced Doctors in the AI Era
At MARS-GLOBAL, we recognize the profound importance of experienced medical consultants and medical professors in the rapidly evolving landscape of AI in healthcare. As a brand committed to
Heal the Healers: The Unseen Epidemic of Burnout Among Healthcare Professionals & How AI Can Provide Relief – A Perspective from MARS-GLOBAL
Burnout among healthcare professionals is a silent crisis affecting many within the medical field. With demanding schedules, emotional tolls, and administrative burdens, burnout has become a pervasive yet
Will Your Patients Use ChatGPT for Diagnosis? Why This Could Be a Bad Idea?
The digital age has brought a revolution in healthcare convenience, enabling individuals to access vast amounts of information with just a few clicks. In the patient-centered medical world,
From Traditional to Technological: The Transformation of Good Clinical Practice Guidelines in the Era of AI
In the field of clinical research, Good Clinical Practice (GCP) guidelines serve as the cornerstone, ensuring the design, conduct, and reporting of clinical trials are ethical and reliable.
How Biostatistics is Shaping the Future of Data Management in Contract Research Organizations
In the dynamic landscape of pharmaceutical research, Contract Research Organizations (CROs) are finding an invaluable ally in biostatistics. This scientific field, which applies statistical methods to biological data,
From Data Gaps to Solid Conclusions: A Deep Dive into Missing Data Imputation Techniques
Missing data is a common problem in research. It can occur for a variety of reasons, such as incomplete surveys, dropouts from clinical trials, or errors in data
الأبحاث الإكلينيكية القائمة على الملاحظة الجزء 2
مرحبًا عزيزي الباحث من جديد…سنتحدث اليوم عن الجزء الثاني والأخير في تصميم التجارب القائمة على الملاحظة Observational Study Design part 2انتهينا من الجزء الأول من الدراسات القائمة على
Separating Fact from Fiction: Common Misconceptions About P-values in Public Health and Clinical Research
Introduction: In biostatistics, a p-value is a measure of the probability of obtaining a result at least as extreme as the one observed, assuming that the null hypothesis