Engineering the Microbiome to Prevent Adverse Events: Challenges and Opportunities

2021 ◽  
Vol 61 (1) ◽  
pp. 159-179 ◽  
Author(s):  
Saad Khan ◽  
Ruth Hauptman ◽  
Libusha Kelly

In the past decade of microbiome research, we have learned about numerous adverse interactions between the microbiome and medical interventions such as drugs, radiation, and surgery. What if we could alter our microbiomes to prevent these events? In this review, we discuss potential routes to mitigate microbiome adverse events, including applications from the emerging field of microbiome engineering. We highlight cases where the microbiome acts directly on a treatment, such as via differential drug metabolism, and cases where a treatment directly harms the microbiome, such as in radiation therapy. Understanding and preventing microbiome adverse events is a difficult challenge that will require a data-driven approach involving causal statistics, multiomics techniques, and a personalized means of mitigating adverse events. We propose research considerations to encourage productive work in preventing microbiome adverse events, and we highlight the many challenges and opportunities that await.

Neurology ◽  
2021 ◽  
pp. 10.1212/WNL.0000000000012703
Author(s):  
Kiran Teresa Thakur ◽  
Samantha Epstein ◽  
Amanda Bilski ◽  
Alanna Balbi ◽  
Amelia K Boehme ◽  
...  

The spread of the SARS-CoV-2 virus has triggered a global effort to rapidly develop and deploy effective and safe COVID-19 vaccination(s). Vaccination has been one of the most effective medical interventions in human history, though potential safety risks of novel vaccines must be monitored, identified, and quantified. Adverse events must be carefully assessed to define whether they are causally associated with vaccination or coincidence. Neurological adverse events following immunizations are overall rare but with significant morbidity and mortality when they occur. Here, we review neurological conditions seen in the context of prior vaccinations and the current data to date on select COVID-19 vaccines including mRNA vaccine(s) and the adenovirus-vector COVID-19 vaccines, ChAdOx1 nCOV-19 (AstraZeneca) and Ad26.COV2.S Johnson and Johnson (Janssen/J&J).


Electronics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 100
Author(s):  
Daniele Apiletti ◽  
Eliana Pastor

Coffee is among the most popular beverages in many cities all over the world, being both at the core of the busiest shops and a long-standing tradition of recreational and social value for many people. Among the many coffee variants, espresso attracts the interest of different stakeholders: from citizens consuming espresso around the city, to local business activities, coffee-machine vendors and international coffee industries. The quality of espresso is one of the most discussed and investigated issues. So far, it has been addressed by means of human experts, electronic noses, and chemical approaches. The current work, instead, proposes a data-driven approach exploiting association rule mining. We analyze a real-world dataset of espresso brewing by professional coffee-making machines, and extract all correlations among external quality-influencing variables and actual metrics determining the quality of the espresso. Thanks to the application of association rule mining, a powerful data-driven exhaustive and explainable approach, results are expressed in the form of human-readable rules combining the variables of interest, such as the grinder settings, the extraction time, and the dose amount. Novel insights from real-world coffee extractions collected on the field are presented, together with a data-driven approach, able to uncover insights into the espresso quality and its impact on both the life of consumers and the choices of coffee-making industries.


2005 ◽  
Vol 10 (4) ◽  
pp. 183-192 ◽  
Author(s):  
Doug Burns

Abstract Since its inception in early 2000, Vanderbilt University's Peripherally Inserted Central Catheter (PICC) Service has experienced a high level of success as measured by high proficiency rates and increasing patient procedures each year, low complication rates during and after PICC placements, and an increasing scope of influence within the Vanderbilt University Medical Center and Children's Hospital, the surrounding community, and in the Southeastern United States. Primary drivers of the PICC Service's continuing success include consistent applications of technique and technology, a data-driven approach to assessing the program's progress, and appropriately managing customers' expectations and needs. Over the past five years, data were collected on more than 12,500 PICC placements performed in this specialized nursing program. Retrospective analyses of the data demonstrate an increasing rate of successful placements (from 87.2% to 92.4%) since the program's inception in 2000 to late 2004. Furthermore, the choice of PICC technology has had a significant impact on the odds for occlusion or infection. The Vanderbilt PICC Service provides a model by which other programs can be established, maintained, and expanded into advanced practice.


Author(s):  
C. J. Bellman ◽  
G. Pupedis

As cloud based services move towards becoming the dominant paradigm in many areas of information technology, GIS has also moved into ‘the Cloud’, creating a new opportunities for professionals and students alike, while at the same time presenting a range of new challenges and opportunities for GIS educators. Learning for many students in the geospatial science disciplines has been based on desktop software for GIS, building their skills from basic data handling and manipulation to advanced spatial analysis and database storage. Cloud-based systems challenge this paradigm in many ways, with some of the skills being replaced by clever and capable software tools, while the ubiquitous nature of the computing environment offers access and processing from anywhere, on any device. <br><br> This paper describes our experiences over the past two years in developing and delivering a new course incorporating cloud based technologies for GIS and illustrates the many benefits and pitfalls of a cloud based approach to teaching. Throughout the course, students were encouraged to provide regular feedback on the course through the use of online journals. This allowed students to critique the approach to teaching, the learning materials available and to describe their own level of comfort and engagement with the material in an honest and non-confrontational manner. Many of the students did not have a strong information technology background and the journals provided great insight into the views of the students and the challenges they faced in mastering this technology.


10.2196/16272 ◽  
2019 ◽  
Vol 21 (11) ◽  
pp. e16272 ◽  
Author(s):  
Qing Zeng-Treitler ◽  
Stuart J Nelson

Artificial intelligence (AI), the computerized capability of doing tasks, which until recently was thought to be the exclusive domain of human intelligence, has demonstrated great strides in the past decade. The abilities to play games, provide piloting for an automobile, and respond to spoken language are remarkable successes. How are the challenges and opportunities of medicine different from these challenges and how can we best apply these data-driven techniques to patient care and outcomes? A New England Journal of Medicine paper published in 1980 suggested that more well-defined “specialized” tasks of medical care were more amenable to computer assistance, while the breadth of approach required for defining a problem and narrowing down the problem space was less so, and perhaps, unachievable. On the other hand, one can argue that the modern version of AI, which uses data-driven approaches, will be the most useful in tackling tasks such as outcome prediction that are often difficult for clinicians and patients. The ability today to collect large volumes of data about a single individual (eg, through a wearable device) and the accumulation of large datasets about multiple persons receiving medical care has the potential to apply to the care of individuals. As these techniques of analysis, enumeration, aggregation, and presentation are brought to bear in medicine, the question arises as to their utility and applicability in that domain. Early efforts in decision support were found to be helpful; as the systems proliferated, later experiences have shown difficulties such as alert fatigue and physician burnout becoming more prevalent. Will something similar arise from data-driven predictions? Will empowering patients by equipping them with information gained from data analysis help? Patients, providers, technology, and policymakers each have a role to play in the development and utilization of AI in medicine. Some of the challenges, opportunities, and tradeoffs implicit here are presented as a dialog between a clinician (SJN) and an informatician (QZT).


2018 ◽  
Vol 10 (02) ◽  
pp. 1840001 ◽  
Author(s):  
Catherine M. Sweeney-Reed ◽  
Slawomir J. Nasuto ◽  
Marcus F. Vieira ◽  
Adriano O. Andrade

Empirical mode decomposition (EMD) provides an adaptive, data-driven approach to time–frequency analysis, yielding components from which local amplitude, phase, and frequency content can be derived. Since its initial introduction to electroencephalographic (EEG) data analysis, EMD has been extended to enable phase synchrony analysis and multivariate data processing. EMD has been integrated into a wide range of applications, with emphasis on denoising and classification. We review the methodological developments, providing an overview of the diverse implementations, ranging from artifact removal to seizure detection and brain–computer interfaces. Finally, we discuss limitations, challenges, and opportunities associated with EMD for EEG analysis.


2016 ◽  
Vol 15 ◽  
pp. CIN.S39549
Author(s):  
Jake Luo ◽  
Ron A. Cisler

We systematically compared the adverse effects of cancer drugs to detect event outliers across different clinical trials using a data-driven approach. Because many cancer drugs are toxic to patients, better understanding of adverse events of cancer drugs is critical for developing therapies that could minimize the toxic effects. However, due to the large variabilities of adverse events across different cancer drugs, methods to efficiently compare adverse effects across different cancer drugs are lacking. To address this challenge, we present an exploration study that integrates multiple adverse event reports from clinical trials in order to systematically compare adverse events across different cancer drugs. To demonstrate our methods, we first collected data on 186,339 clinical trials from ClinicalTrials.gov and selected 30 common cancer drugs. We identified 1602 cancer trials that studied the selected cancer drugs. Our methods effectively extracted 12,922 distinct adverse events from the clinical trial reports. Using the extracted data, we ranked all 12,922 adverse events based on their prevalence in the clinical trials, such as nausea 82%, fatigue 77%, and vomiting 75.97%. To detect the significant drug outliers that could have a statistically high possibility of causing an event, we used the boxplot method to visualize adverse event outliers across different drugs and applied Grubbs’ test to evaluate the significance. Analyses showed that by systematically integrating cross-trial data from multiple clinical trial reports, adverse event outliers associated with cancer drugs can be detected. The method was demonstrated by detecting the following four statistically significant adverse event cases: the association of the drug axitinib with hypertension (Grubbs’ test, P < 0.001), the association of the drug imatinib with muscle spasm ( P < 0.001), the association of the drug vorinostat with deep vein thrombosis ( P < 0.001), and the association of the drug afatinib with paronychia ( P < 0.01).


Author(s):  
Albert J Ksinan ◽  
Yaou Sheng ◽  
Elizabeth K Do ◽  
Julia C Schechter ◽  
Junfeng (Jim) Zhang ◽  
...  

Abstract Introduction Many children suffer from secondhand smoke exposure (SHSe), which leads to a variety of negative health consequences. However, there is no consensus on how clinicians can best query parents for possible SHSe among children. We employed a data-driven approach to create an efficient screening tool for clinicians to quickly and correctly identify children at risk for SHSe. Methods Survey data from mothers and biospecimens from children were ascertained from the Neurodevelopment and Improving Children’s Health following Environmental Tobacco Smoke Exposure (NICHES) study. Included were mothers and their children whose saliva were assayed for cotinine (n = 351 pairs, mean child age = 5.6 years). Elastic net regression predicting SHSe, as indicated from cotinine concentration, was conducted on available smoking-related questions and cross-validated with 2015-2016 National Health and Nutrition Examination Survey (NHANES) data to select the most predictive items of SHSe among children (n = 1,670, mean child age = 8.4 years). Results Answering positively to at least one of the two final items (“During the past 30 days, did you smoke cigarettes at all?” and “Has anyone, including yourself, smoked tobacco in your home in the past 7 days?”) showed AUC = .82, and good specificity (.88) and sensitivity (.74). These results were validated with similar items in the nationally-representative NHANES sample, AUC = .82, specificity = .78, and sensitivity = .77. Conclusions Our data-driven approach identified and validated two items that may be useful as a screening tool for a speedy and accurate assessment of SHSe among children. Implications The current study used a rigorous data-driven approach to identify questions that could reliably predict secondhand smoking exposure (SHS) among children.Using saliva cotinine concentration levels as a gold standard for determining SHS exposure, our analysis employing elastic net regression identified two questions that served as good classifier for distinguishing children who might be at risk for SHS exposure. The two items that we validated in the current study can be readily used by clinicians, such as pediatricians, as part of screening procedures to quickly identify whether children might be at risk for secondhand smoking exposure.


2013 ◽  
Vol 7 (13) ◽  
pp. 23
Author(s):  
Thomas Lamb

Colombia is involved in preliminary philosophies regarding the acquisition of frigates in the next 10 years. This presents many challenges as well as opportunities. This not a unique situation as many maritime countries have struggled with this matter over the past 50 years. The question that quickly arises is whether a country should design and construct new naval ships themself or follow one or a combination of the many options that have been used over this period. This presentation will review these options as both challenges and opportunities and hopefully provide a starting point for important discussions of this subject.


Author(s):  
C. J. Bellman ◽  
G. Pupedis

As cloud based services move towards becoming the dominant paradigm in many areas of information technology, GIS has also moved into ‘the Cloud’, creating a new opportunities for professionals and students alike, while at the same time presenting a range of new challenges and opportunities for GIS educators. Learning for many students in the geospatial science disciplines has been based on desktop software for GIS, building their skills from basic data handling and manipulation to advanced spatial analysis and database storage. Cloud-based systems challenge this paradigm in many ways, with some of the skills being replaced by clever and capable software tools, while the ubiquitous nature of the computing environment offers access and processing from anywhere, on any device. &lt;br&gt;&lt;br&gt; This paper describes our experiences over the past two years in developing and delivering a new course incorporating cloud based technologies for GIS and illustrates the many benefits and pitfalls of a cloud based approach to teaching. Throughout the course, students were encouraged to provide regular feedback on the course through the use of online journals. This allowed students to critique the approach to teaching, the learning materials available and to describe their own level of comfort and engagement with the material in an honest and non-confrontational manner. Many of the students did not have a strong information technology background and the journals provided great insight into the views of the students and the challenges they faced in mastering this technology.


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