NeuroDISK: An AI Approach to Automate Continuous Inquiry-Driven Discoveries in Neuroimaging Genetics.

Collaborative and multi-site neuroimaging studies have greatly accelerated the rate at which new and existing data can be aggregated to answer a neuroscientific question. New research initiatives are continuously collecting more data, allowing opportunities to refine previous published findings through continuous and dynamic updates. Yet, we lack a practical framework for researchers to systematically, automatically, and continuously update published findings.

Improved intra-operative decision making in RA-TKR with the help of pre-operative CT scan.

Background: Robotic-assisted total knee replacement (RA-TKR) is a significant advancement in orthopedic surgery, but intra-operative decision-making remains challenging. Pre-operative imaging techniques, particularly CT scans, have gained momentum, providing insights into the patient's anatomy, improving implant positioning and alignment. However, further research is needed to explore their influence on RA-TKR planning and execution.

Impact of Hepatitis B on Complications and Functional Outcomes in Patients Undergoing TKR.

Background: In India, infected patients with hepatitis B virus (HBV) undergoing total knee replacement (TKA) are increasing. It is recognized that patients with HBV infection are more susceptible to complications after surgery. To evaluate the effect of HBV infection on complications and functional outcome after TKA was the aim of this study.

Corrigendum to "Relative frequency of avascular necrosis of the hip as indication for primary Total Hip Arthroplasty in the USA vs. India" [J. Orthop. 36C (2023) 1-6].

[This corrects the article DOI: 10.1016/j.jor.

Patella non-resurfacing in primary total knee arthroplasty provides good functional results-a retrospective review of nine thousand three hundred forty six knees.

Purpose: Patellar resurfacing has long been a contentious subject in TKA with no consensus and the literature yielding disparate results. The aim of this study was to evaluate the long-term functional outcomes and complications of patients undergoing primary TKA without patellar resurfacing (non-resurfacing).

Methods: This study retrospectively analysed 9346 patients who underwent primary manual jig-based TKA without patellar resurfacing at a single high-volume arthroplasty centre between 2010 and 2018.

Effect of Hypothyroidism on Complications in Patients Undergoing TKA in Indian Population.

Background: The number of hypothyroidism patients undergoing total knee replacement (TKA) in India is increasing. It is assumed that patients with hypothyroidism are more prone to complications following surgery. The aim of this study is to evaluate the impact of hypothyroidism on the complications following TKA.

Intraoperative Periprosthetic Fractures during primary Total knee arthroplasty: Experience from an Asian high-volume arthroplasty centre.

Background: Intraoperative periprosthetic fracture (IF) is an under-reported complication in primary total knee arthroplasty (TKA). This study aimed to audit the outcomes and complication rates in patients encountering IF during primary TKA and propose a new classification for its management.

Methods: A nested case-control study was performed at a tertiary referral hospital where 50 patients encountering IF during primary TKA operated by a single surgeon team between January 2016 to May 2021, were compared with 150 (3:1) age-, gender- and implant-matched patients not encountering IF.

Relative frequency of avascular necrosis of the hip as indication for primary Total Hip Arthroplasty in the USA vs. India.

Introduction: Background: Primary total hip arthroplasty (THA) is performed for a variety of pathologies. Osteoarthritis (OA) is the most common indication for THA in the United States of America (USA). The study aims to establish the incidence of indications for THA in the USA as compared to India and to assess whether Avascular Necrosis (AVN) of the Hip is a more frequent indication for THA in India than in the USA.

An Incognizant Glitch-pinnacle Polyliner Dissociation: A Case Report.

Introduction: Liner dissociation of the pinnacle total hip arthroplasty system is a rare but documented complication. Although a few reports are published internationally, to the best of our knowledge no cases have been documented from India so far.

Case Report: A 31-year-old male presented with failed femoral head fracture fixation for which total hip replacement was done.

Semantic workflows for benchmark challenges: Enhancing comparability, reusability and reproducibility.

Benchmark challenges, such as the Critical Assessment of Structure Prediction (CASP) and Dialogue for Reverse Engineering Assessments and Methods (DREAM) have been instrumental in driving the development of bioinformatics methods. Typically, challenges are posted, and then competitors perform a prediction based upon blinded test data. Challengers then submit their answers to a central server where they are scored.

Towards Automatic Generation of Portions of Scientific Papers for Large Multi-Institutional Collaborations Based on Semantic Metadata.

Scientific collaborations involving multiple institutions are increasingly commonplace. It is not unusual for publications to have dozens or hundreds of authors, in some cases even a few thousands. Gathering the information for such papers may be very time consuming, since the author list must include authors who made different kinds of contributions and whose affiliations are hard to track.

Use of semantic workflows to enhance transparency and reproducibility in clinical omics.

Background: Recent highly publicized cases of premature patient assignment into clinical trials, resulting from non-reproducible omics analyses, have prompted many to call for a more thorough examination of translational omics and highlighted the critical need for transparency and reproducibility to ensure patient safety. The use of workflow platforms such as Galaxy and Taverna have greatly enhanced the use, transparency and reproducibility of omics analysis pipelines in the research domain and would be an invaluable tool in a clinical setting. However, the use of these workflow platforms requires deep domain expertise that, particularly within the multi-disciplinary fields of translational and clinical omics, may not always be present in a clinical setting.

Parameterized Specification, Configuration and Execution of Data-Intensive Scientific Workflows.

Data analysis processes in scientific applications can be expressed as coarse-grain workflows of complex data processing operations with data flow dependencies between them. Performance optimization of these workflows can be viewed as a search for a set of optimal values in a multidimensional parameter space consisting of input performance parameters to the applications that are known to affect their execution times. While some performance parameters such as grouping of workflow components and their mapping to machines do not affect the accuracy of the analysis, others may dictate trading the output quality of individual components (and of the whole workflow) for performance.

An Integrated Framework for Parameter-based Optimization of Scientific Workflows.

Data analysis processes in scientific applications can be expressed as coarse-grain workflows of complex data processing operations with data flow dependencies between them. Performance optimization of these workflows can be viewed as a search for a set of optimal values in a multi-dimensional parameter space. While some performance parameters such as grouping of workflow components and their mapping to machines do not a ect the accuracy of the output, others may dictate trading the output quality of individual components (and of the whole workflow) for performance.

An efficient algorithm for optimizing DCT quantization.

We describe the RD-OPT algorithm for DCT quantization optimization, which can be used as an efficient tool for near-optimal rate control in DCT-based compression techniques, such as JPEG and MPEG. RD-OPT measures DCT coefficient statistics for the given image data to construct rate/distortion-specific quantization tables with nearly optimal tradeoffs.