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We’ve already discussed a few times in the CapeStart blog the importance of systematic literature reviews (also known as SLRs or systematic reviews) and how they’re a cornerstone of evidence-based medicine (EBM). We’ve also explored various ways machine learning (ML) and other AI tools can help improve the speed and accuracy of various elements of SLR production, such as…
Pharmacovigilance (PV) practices have proven incredibly useful for pharmaceutical companies who need to know which drugs may cause adverse drug reactions (ADRs) throughout a product’s lifecycle – and in what context. But traditional PV activities have also received recent criticism for relying too much on information from spontaneous reporting systems (SRSs), which are sometimes incomplete, incorrect, and…
No one likes adverse drug reactions (ADRs) – not pharmaceutical companies, not regulators, and certainly not patients. That’s why ongoing monitoring for ADRs – a process known as pharmacovigilance (PV), or monitoring the safety and risk-benefit profile of pharmaceutical products – is a core responsibility of pharmaceutical companies around the world. However, despite this vigilance,…
The creation and timely dissemination of accurate and exhaustively researched systematic literature reviews (SLRs) is a cornerstone of evidence-based medicine (EBM). But as we’ve discussed in previous blog posts, SLRs take an outsized amount of time to produce – and the most time-consuming part of all usually involves searching for and identifying relevant studies for inclusion.…
Systematic literature reviews (SLRs) form part of the bedrock of evidence-based medicine (EBD), which combines objective evaluations of the most current evidence, clinician experience, and patient specifics to determine the most effective medical treatments or interventions. This evidence, however, is usually found within unstructured clinical literature – a challenge in and of itself, but one…
Getting desirable data out of published reports and clinical trials and into systematic literature reviews (SLRs) – a process known as data extraction – is just one of a series of incredibly time-consuming, repetitive, and potentially error-prone steps involved in creating SLRs and meta-analyses. It’s also an area that stands to benefit most from automated or semi-automated…
Systematic literature reviews (SLRs) are a vital component of modern health care, especially today, as the ever-growing amounts of scientific literature available become harder and harder to analyze using conventional methods. In a previous blog post, we’ve already discussed the importance and challenges of performing SLRs on time. The challenges are massive, including research question and inclusion rules formulation,…
Although the term “evidence-based medicine” (EBM) first appeared in print in the early 1990s, the history of this now-popular approach to clinical practice goes back much further. In the mid-18th century, James Lind, a Scottish naval physician, experimented with citrus-based scurvy treatments on several comparable groups of sick sailors. And there is evidence of what can be loosely called EBM stretching…
Ever since the discovery of the first-ever synthetic drug in 1869, chloral hydrate, pharmaceutical companies have competed fiercely to find the next miracle medication. But current drug discovery approaches – which incorporate modern computing, artificial intelligence (AI), and machine learning (ML) – are often limited by the capabilities of classical computational technology. That’s why advanced companies and researchers…
Pharmacovigilance – also known as PV, PhV, or drug safety – is a vital component of the drug development process, for protecting the health and safety of healthcare consumers and keeping drugmakers informed of any adverse drug reactions (ADRs) their products may cause in specific individuals. PV involves “identifying, tracking, evaluating and preventing negative outcomes”…
