Network analysis of driver genes in human cancers.

Cancer is a heterogeneous disease that results from genetic alteration of cell cycle and proliferation controls. Identifying mutations that drive cancer, understanding cancer type specificities, and delineating how driver mutations interact with each other to establish disease is vital for identifying therapeutic vulnerabilities. Such cancer specific patterns and gene co-occurrences can be identified by studying tumor genome sequences, and networks have proven effective in uncovering relationships between sequences.

Multi-Trait Multi-Environment Genomic Prediction for End-Use Quality Traits in Winter Wheat.

Soft white wheat is a wheat class used in foreign and domestic markets to make various end products requiring specific quality attributes. Due to associated cost, time, and amount of seed needed, phenotyping for the end-use quality trait is delayed until later generations. Previously, we explored the potential of using genomic selection (GS) for selecting superior genotypes earlier in the breeding program.

Multitrait machine- and deep-learning models for genomic selection using spectral information in a wheat breeding program.

Prediction of breeding values is central to plant breeding and has been revolutionized by the adoption of genomic selection (GS). Use of machine- and deep-learning algorithms applied to complex traits in plants can improve prediction accuracies. Because of the tremendous increase in collected data in breeding programs and the slow rate of genetic gain increase, it is required to explore the potential of artificial intelligence in analyzing the data.

Retrospective Analysis of Pain Relief in Total Knee Replacement Surgeries.

Background And Aims: The aim of the study is to measure the postoperative adequacy of pain relief and functional recovery after unilateral primary total knee arthroplasty or total knee replacement (TKR) with a multimodal approach.

Settings And Design: This was a retrospective observational study done in a tertiary care center.

Materials And Methods: Eighty patients aged 18-65 years (yrs) with ASA Physical Status Classes I, II, and III operated for unilateral primary TKR surgery under suitable Anaesthesia and was administered ultrasound-guided adductor canal block + periarticular infiltration (PI) from January 2018 to January 2019 were included.

Comparison of continuous epidural infusion of 0.125% ropivacaine with 1 μg/ml fentanyl versus 0.125% bupivacaine with 1 μg/ml fentanyl for postoperative analgesia in major abdominal surgery.

Background And Aim: The present study was carried out to compare the efficacy of continuous epidural infusion of two amide local anesthetics, ropivacaine and bupivacaine with fentanyl for postoperative analgesia in major abdominal surgeries.

Material And Methods: A total of 60 patients scheduled for major abdominal surgery were randomized into two study Groups B and R with thirty patients in each group. All patients were administered general anesthesia after placing epidural catheter.