日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Areas of uncertainty in endophthalmitis care

眼内炎治疗中存在的不确定因素

Venkatesh, Ramesh; Hande, Prathibha; James, Edwin; Chokkahalli, Nagesha Krishnappa; Ranganath, Prashanth; Kathare, Rupal; Prabhu, Vishma; Jayadev, Chaitra; Tendulkar, Karishma; Raj, Pragati; Malwe, Gaurav; Tripathi, Shubhangi; Biradar, Preksha; Sirsikar, Alisha; Yadav, Naresh Kumar

Adaptive sampling with Oxford Nanopore offers a simple way to improve the efficiency of plant metagenomic studies

利用牛津纳米孔进行自适应采样为提高植物宏基因组学研究效率提供了一种简便的方法。

Verhoeven, Joost Theo Petra; Malwe, Aditya Sanjay; Roussel, Nathan; Nielsen, Ida Broman; Mak, Sarah S T; Nielsen, Tue Kjærgaard; Barnes, Christopher James

XenoBug: machine learning-based tool to predict pollutant-degrading enzymes from environmental metagenomes

XenoBug:基于机器学习的工具,用于从环境宏基因组中预测污染物降解酶

Malwe, Aditya S; Longwani, Usha; Sharma, Vineet K

GutBugDB: a web resource to predict the human gut microbiome-mediated biotransformation of biotic and xenobiotic molecules

GutBugDB:一个用于预测人类肠道微生物组介导的生物和外源性分子生物转化的网络资源

Longwani, Usha; Sharma, Ashok K; Malwe, Aditya S; Jaiswal, Shubham K; Sharma, Vineet K

Assessment of prevalence and need for screening of diabetic retinopathy using non-mydriatic fundus camera in rural and tribal diabetic populations in Maharashtra

在马哈拉施特拉邦农村和部落糖尿病人群中,使用非散瞳眼底照相机评估糖尿病视网膜病变的患病率和筛查需求

Jain, Pranjal; Shukla, Ajay K; Singh, Smita; Sheikh, Azhar M; Malwe, Gaurav

Application of artificial intelligence approaches to predict the metabolism of xenobiotic molecules by human gut microbiome

应用人工智能方法预测人类肠道微生物群对异生物质分子的代谢

Malwe, Aditya S; Sharma, Vineet K

Tuberculosis and the Effectiveness of the Revised National Tuberculosis Control Program (RNTCP) to Control Tuberculosis: A Narrative Review

结核病及修订版国家结核病控制规划(RNTCP)控制结核病的有效性:叙述性综述

Malwe, Shraddha; Bawiskar, Dushyant; Wagh, Vasant

MP4: a machine learning based classification tool for prediction and functional annotation of pathogenic proteins from metagenomic and genomic datasets

MP4:一种基于机器学习的分类工具,用于预测和功能注释来自宏基因组和基因组数据集的致病蛋白

Gupta, Ankit; Malwe, Aditya S; Srivastava, Gopal N; Thoudam, Parikshit; Hibare, Keshav; Sharma, Vineet K