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Comprehensive Reviews in Food Science and Food Safety|February 5, 2022
Machine learning-based modeling in food processing applications: State of the artMd Imran H Khan, Shyam S Sablani, Richi Nayak, et al.
Tuberculosis (Edinburgh, Scotland)|August 19, 2014
Improving sensitivity for serodiagnosis of tuberculosis using TB16.3-echA1 fusion proteinSana Khurshid, Madeeha Afzal, Ruqyya Khalid, et al.
Comprehensive Reviews in Food Science and Food Safety|December 22, 2020
Multiscale Modeling for Food Drying: State of the ArtZachary Welsh, Matthew J Simpson, Md Imran H Khan, et al.
Scientific Reports|October 14, 2018
Fundamental Understanding of Cellular Water Transport Process in Bio-Food Material during DryingMd Imran H Khan, Troy Farrell, S A Nagy, et al.
Critical Reviews in Food Science and Nutrition|July 21, 2016
Multiphase porous media modelling: A novel approach to predicting food processing performanceMd Imran H Khan, M U H Joardder, Chandan Kumar, et al.
Clinical and Vaccine Immunology : CVI|June 14, 2013
Exploratory study on plasma immunomodulator and antibody profiles in tuberculosis patientsResmi Ravindran, Viswanathan V Krishnan, Azra Khanum, et al.
Scientific Reports|September 10, 2021
Automated machine learning for endemic active tuberculosis prediction from multiplex serological dataHooman H Rashidi, Luke T Dang, Samer Albahra, et al.
Comprehensive Reviews in Food Science and Food Safety|December 22, 2020
Shrinkage of Food Materials During Drying: Current Status and ChallengesMd Mahiuddin, Md Imran H Khan, C Kumar, et al.
Tuberculosis (Edinburgh, Scotland)|August 19, 2020
Designing fusion molecules from antigens of Mycobacterium tuberculosis for detection of multiple antibodies in plasma of TB patientsMohsina Akhter, Shaista Arif, Aasia Khaliq, et al.
Plos One|September 23, 2016
Fusion Molecules of Heat Shock Protein HSPX with Other Antigens of Mycobacterium tuberculosis Show High Potential in Serodiagnosis of TuberculosisRuqyya Khalid, Madeeha Afzal, Sana Khurshid, et al.
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