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PubMed Journals Articles About "Data Challenges Evaluating Treatments" RSS

09:05 EDT 20th June 2019 | BioPortfolio

Data Challenges Evaluating Treatments PubMed articles on BioPortfolio. Our PubMed references draw on over 21 million records from the medical literature. Here you can see the latest Data Challenges Evaluating Treatments articles that have been published worldwide.

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Showing "Data challenges evaluating treatments" PubMed Articles 1–25 of 32,000+

Data challenges for evaluating new treatments.


Big data challenges in genome informatics.

In recent years, we have witnessed a big data explosion in genomics, thanks to the improvement in high-throughput technologies at drastically decreasing costs. We are entering the era of millions of available genomes. Notably, each genome can be composed of billions of nucleotides stored as plain text files in gigabytes (GBs). It is undeniable that those genome data impose unprecedented data challenges for us. In this article, we briefly discuss the big data challenges associated with genomics in recent yea...

Artificial Intelligence in Clinical Decision Support: Challenges for Evaluating AI and Practical Implications.

This paper draws attention to: i) key considerations for evaluating artificial intelligence (AI) enabled clinical decision support; and ii) challenges and practical implications of AI design, development, selection, use, and ongoing surveillance.


Evaluating automated entity extraction with respect to drug and non-drug treatment strategies.

Treatment used in a randomized clinical trial is a critical data element both for physicians at the point of care and reviewers who are evaluating different interventions. Much of existing work on treatment extraction from the biomedical literature has focused on the extraction of pharmacological interventions. However, non-pharmacological interventions (e.g., exercise, diet, etc.) that are frequently used to address chronic conditions are less well studied. The goal of this study is to compare knowledge-ba...

Gigwa v2-Extended and improved genotype investigator.

The study of genetic variations is the basis of many research domains in biology. From genome structure to population dynamics, many applications involve the use of genetic variants. The advent of next-generation sequencing technologies led to such a flood of data that the daily work of scientists is often more focused on data management than data analysis. This mass of genotyping data poses several computational challenges in terms of storage, search, sharing, analysis, and visualization. While existing to...

Current Status and Challenges of Endoscopic Treatments for Duodenal Tumors.

Superficial tumors of the duodenum, other than ampullary tumors, have been traditionally considered rare. However, reports of this kind of tumor have increased in recent times, and the demand for minimally invasive treatments have also increasing.

Recurrent Neural Networks in Mobile Sampling and Intervention.

The rapid rise and now widespread distribution of handheld and wearable devices, such as smartphones, fitness trackers, or smartwatches, has opened a new universe of possibilities for monitoring emotion and cognition in everyday-life context, and for applying experience- and context-specific interventions in psychosis. These devices are equipped with multiple sensors, recording channels, and app-based opportunities for assessment using experience sampling methodology (ESM), which enables to collect vast amo...

Evaluating Risks and Benefits of Evolving Systemic Treatments of Neuroendocrine Tumors.

Is successful treatment of depression in dialysis patients an achievable goal?

Depression is undisputedly common among individuals with End-Stage Kidney Failure and associated with adverse outcomes. It is well recognized that effective treatments for depression are needed within routine dialysis care. But, are we any closer to successfully treating depression in dialysis patients? We consider this question here with respect to two common treatments, antidepressant medication and cognitive behavioural therapy (CBT). Currently, there are limited data from randomized placebo-controlled t...

The Challenges of Improving Treatments for Depression.

Evaluating the Use of Nonrandomized Real World Data Analyses for Regulatory Decision Making.

The analysis of longitudinal healthcare data outside of highly-controlled parallel-group randomized trials, termed real-world evidence (RWE), has received increasing attention in the medical literature. In this paper, we discuss the potential role of RWE in drug regulation with a focus on the analysis of healthcare databases. We present several cases where RWE is already used and cases where RWE could potentially support regulatory decision-making. We summarize key issues that investigators and regulators s...

How to Harness Big Data for the Benefit of Patients.

IMI is a large public private partnership which has committed Euro 5 Billion from the European Commission, the European Pharmaceutical sector and other partners, to enable and accelerate bringing medical innovation to patients. IMI is now 10 years old and already has changed the ecosystem and way of working in developing innovative medicines across the public/private divide. Big data represents a significant piece of this investment and projects in this area are attempting to provide solutions to major chal...

Developing a modern data workflow for regularly updated data.

Over the past decade, biology has undergone a data revolution in how researchers collect data and the amount of data being collected. An emerging challenge that has received limited attention in biology is managing, working with, and providing access to data under continual active collection. Regularly updated data present unique challenges in quality assurance and control, data publication, archiving, and reproducibility. We developed a workflow for a long-term ecological study that addresses many of the c...

Population data science: advancing the safe use of population data for public benefit.

The value of using population data to answer important questions for individual and societal benefit has never been greater. Governments and research funders world-wide are recognizing this potential and making major investments in data-intensive initiatives. However, there are challenges to overcome so that safe, socially-acceptable data sharing can be achieved. This paper outlines the field of population data science, the International Population Data Linkage Network (IPDLN), and their roles in advancing ...

Real-World Evidence Gathering in Oncology: The Need for a Biomedical Big Data Insight-Providing Federated Network.

Moving toward new adaptive pathways for the development and access to innovative medicines implies that real-world data (RWD) collected throughout the medicinal product life cycle is becoming increasingly important. Big data analytics on RWD can obtain new and powerful insights into medicines' effectiveness. However, the healthcare ecosystem still faces many sector-specific challenges that hamper the use of big data analytics delivering real world evidence (RWE). We distinguish between exploratory (ExTE) an...

Lip dose challenges in food allergy: Current practice and diagnostic utility in the United Kingdom.

Lip dose challenges (LDC) are often performed as an initial step prior to oral food challenges (OFC). However, guidance on how to perform and interpret LDC is unclear, and data are lacking regarding the diagnostic accuracy of LDC.

The Case for the Use of Patient and Caregiver Perception of Change Assessments in Rare Disease Clinical Trials: A Methodologic Overview.

The traditional model of evaluating treatments based primarily on primary outcome measures has stumbled in its application to rare disease. Rare disease clinical trials face the methodological challenges of small, heterogeneous patient populations and relatively few validated, disease-specific outcome measures. Incorporating qualitative research into rare disease clinical trials may help sponsors, regulators, payers, and prescribers to better understand the real-world and patient-specific impact of a potent...

'When you are a data collector you must expect anything'. Barriers, boundaries and breakthroughs: insights from the South African data-collection experience.

The impact of the research process on the researcher is an emerging topic of interest. Data collection in most low- and middle-income countries (LMICs) is often the responsibility of community members who are identified and trained specifically for data collection. When research involves data on mental health and social well-being, data collectors may have specific competency needs and the task of data gathering may impact data collectors. This study aims to explore the experiences and needs of data collect...

ExpoQual: Evaluating measured and modeled human exposure data.

Recent rapid technological advances are producing exposure data sets for which there are no available data quality assessment tools. At the same time, regulatory agencies are moving in the direction of data quality assessment for environmental risk assessment and decision-making. A transparent and systematic approach to evaluating exposure data will aid in those efforts. Any approach to assessing data quality must consider the level of quality needed for the ultimate use of the data. While various fields ha...

TRCMGene: A two-step referential compression method for the efficient storage of genetic data.

The massive quantities of genetic data generated by high-throughput sequencing pose challenges to data storage, transmission and analyses. These problems are effectively solved through data compression, in which the size of data storage is reduced and the speed of data transmission is improved. Several options are available for compressing and storing genetic data. However, most of these options either do not provide sufficient compression rates or require a considerable length of time for decompression and...

Understanding treatment decisions from the perspective of people with relapsing remitting multiple Sclerosis: A critical interpretive synthesis.

Multiple Sclerosis (MS) is a chronic inflammatory demyelinating disorder of the central nervous system that mainly affects young adults. While there is no cure for MS, disease modifying treatments (DMTs) reduce the relapse rate and partial accrual of disability. More effective DMTs may have higher risks including life-threatening infections or secondary autoimmunity. The complexity and novelty of available treatments cause challenges for clinicians when prescribing treatments and for people with MS (PwMS) w...

Abstracts of low back pain trials are poorly reported, contain spin of information and are inconsistent with the full text: An overview study.

To investigate trials abstracts evaluating treatments for low back pain with regards to completeness of reporting, spin (i.e., interpretation of study results that overemphasizes the beneficial effects of the intervention), and inconsistencies in data with the full text.

Facing the future: challenges and opportunities in adoptive T cell therapy in cancer.

In recent years, immunotherapy for the treatment of solid cancer has emerged as a promising therapeutic alternative. Adoptive cell therapy (ACT), especially T cell-based, have been found to cause tumor regression and even cure in a percentage of treated patients. Checkpoint inhibitors further underscore the potential of the T cell compartment in the treatment of cancer. Not all patients respond to these treatments, however, and many challenges remain. Areas covered: This review covers the challenges and pro...

Cannabinoid interventions for PTSD: Where to next?

Cannabinoids are a promising method for pharmacological treatment of post-traumatic stress disorder (PTSD). Despite considerable research devoted to the effect of cannabinoid modulation on PTSD symptomology, there is not a currently agreed way by which the cannabinoid system should be targeted in humans. In this review, we present an overview of recent research identifying neurological pathways by which different cannabinoid-based treatments may exert their effects on PTSD symptomology. We evaluate the stre...

How Do We Know That Our Patients Have Benefitted From Our ENT/Audiological Interventions? Presented at the Annual Meeting of ADANO 2016 in Berlin.

: This short review article gives an introduction to some of the fundamental concepts and challenges facing measurement in hearing healthcare practice and research. The impact of hearing loss almost always extends beyond the sensory impairment itself, even when the measured degree of audiometric loss is mild. Yet, going beyond audibility, into the realm of measuring impact, takes us into a much more complex and less well-defined space. How does one therefore best measure the therapeutic benefit for evaluati...


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