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

Burden of MASLD and liver fibrosis: evidence from Phenome India cohort

MASLD和肝纤维化的负担:来自印度表型组队列的证据

Arvind, Meghana; Verma, Anshul; K, Sreeshma Raj; Prakash, Satyartha; Kumar, Vignesh S; Uddin, Mohammad Azhar; Narayan, Ayushi; Rathore, Mamta; Rawat, Nancy; Sahu, Ankita; Kumar, Yogesh; Leuva, Pulkit Hasmukhbhai; Sharma, Monika; S, Rajesh; Saha, Dwaipayan; Mridha, Ankita; Nath, Ishant Jyoti; Hussain, Ashique; Rajkumari, Borsha; Thapa, Mamta; Kumari, Neha; S, Vishwapriya; Chatterjee, Shilpak; Ganguly, Dipyaman; Awasthi, Ashish; Yenamandra, Vamsi K; Singh, Ajay Pratap; Mishra, Aastha; Raychaudhuri, Swasti; Tallapaka, Karthik Bharadwaj; Chandak, Giriraj Ratan; Kulkarni, Mahesh J; Dharne, Mahesh S; Wahengbam, Romi; Subudhi, Umakanta; Biswas, Sagnik; Shalimar; Chaudhary, Kumardeep; Sengupta, Shantanu; Chakrabarti, Partha; Sardana, Viren

A lightweight and explainable CNN model for empowering plant disease diagnosis

一种轻量级且可解释的卷积神经网络模型,用于增强植物病害诊断能力。

Pal, Chiranjit; Karmakar, Swastik; Mukherjee, Imon; Chakrabarti, Partha Pratim

Rational design and discovery of potent PROTAC degraders of ASK1: a targeted therapy in MASH.

合理设计并发现强效的 ASK1 PROTAC 降解剂:MASH 的靶向治疗

Sarkar Himadri Sekhar, Sen Abhishek, Hoque Israful, Ghosh Dastidar Uddipta, Pal Soupayan, Sarkar Dipika, Chakrabarti Partha, Talukdar Arindam

Pathophysiological hallmarks in type 2 diabetes heterogeneity (review)

2型糖尿病异质性的病理生理学特征(综述)

Datta, Dipamoy; Kundu, Raja; Basu, Rajdeep; Chakrabarti, Partha

Adipose tissue-derived adipsin marks human aging in non-type 2 diabetes population.

脂肪组织衍生的脂肪素是2型糖尿病以外人群衰老的标志

Maity Sujay Krishna, Das Sharma Avinil, Sarkar Jit, Chaudhuri Tamonash, Tantia Om, Chakrabarti Partha

Butyrate limits inflammatory macrophage niche in NASH

丁酸盐限制了非酒精性脂肪性肝炎中的炎症巨噬细胞微环境。

Sarkar, Ankita; Mitra, Priya; Lahiri, Abhishake; Das, Tanusree; Sarkar, Jit; Paul, Sandip; Chakrabarti, Partha

Accelerated export of Dicer1 from lipid-challenged hepatocytes buffers cellular miRNA-122 levels and prevents cell death

脂质刺激下肝细胞中Dicer1的加速输出可缓冲细胞内miRNA-122水平并防止细胞死亡

Bandyopadhyay, Diptankar; Basu, Sudarshana; Mukherjee, Ishita; Chakrabarti, Saikat; Chakrabarti, Partha; Mukherjee, Kamalika; Bhattacharyya, Suvendra N

A machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys

一种基于机器学习的方法,用于确定 BBV152(Covaxin)全病毒灭活 SARS-CoV-2 疫苗接种者的感染状态,以进行血清学调查

Singh, Prateek; Ujjainiya, Rajat; Prakash, Satyartha; Naushin, Salwa; Sardana, Viren; Bhatheja, Nitin; Singh, Ajay Pratap; Barman, Joydeb; Kumar, Kartik; Gayali, Saurabh; Khan, Raju; Rawat, Birendra Singh; Tallapaka, Karthik Bharadwaj; Anumalla, Mahesh; Lahiri, Amit; Kar, Susanta; Bhosale, Vivek; Srivastava, Mrigank; Mugale, Madhav Nilakanth; Pandey, C P; Khan, Shaziya; Katiyar, Shivani; Raj, Desh; Ishteyaque, Sharmeen; Khanka, Sonu; Rani, Ankita; Promila; Sharma, Jyotsna; Seth, Anuradha; Dutta, Mukul; Saurabh, Nishant; Veerapandian, Murugan; Venkatachalam, Ganesh; Bansal, Deepak; Gupta, Dinesh; Halami, Prakash M; Peddha, Muthukumar Serva; Veeranna, Ravindra P; Pal, Anirban; Singh, Ranvijay Kumar; Anandasadagopan, Suresh Kumar; Karuppanan, Parimala; Rahman, Syed Nasar; Selvakumar, Gopika; Venkatesan, Subramanian; Karmakar, Malay Kumar; Sardana, Harish Kumar; Kothari, Anamika; Parihar, Devendra Singh; Thakur, Anupma; Saifi, Anas; Gupta, Naman; Singh, Yogita; Reddu, Ritu; Gautam, Rizul; Mishra, Anuj; Mishra, Avinash; Gogeri, Iranna; Rayasam, Geethavani; Padwad, Yogendra; Patial, Vikram; Hallan, Vipin; Singh, Damanpreet; Tirpude, Narendra; Chakrabarti, Partha; Maity, Sujay Krishna; Ganguly, Dipyaman; Sistla, Ramakrishna; Balthu, Narender Kumar; A, Kiran Kumar; Ranjith, Siva; Kumar, B Vijay; Jamwal, Piyush Singh; Wali, Anshu; Ahmed, Sajad; Chouhan, Rekha; Gandhi, Sumit G; Sharma, Nancy; Rai, Garima; Irshad, Faisal; Jamwal, Vijay Lakshmi; Paddar, Masroor Ahmad; Khan, Sameer Ullah; Malik, Fayaz; Ghosh, Debashish; Thakkar, Ghanshyam; Barik, S K; Tripathi, Prabhanshu; Satija, Yatendra Kumar; Mohanty, Sneha; Khan, Md Tauseef; Subudhi, Umakanta; Sen, Pradip; Kumar, Rashmi; Bhardwaj, Anshu; Gupta, Pawan; Sharma, Deepak; Tuli, Amit; Ray Chaudhuri, Saumya; Krishnamurthi, Srinivasan; Prakash, L; Rao, Ch V; Singh, B N; Chaurasiya, Arvindkumar; Chaurasiyar, Meera; Bhadange, Mayuri; Likhitkar, Bhagyashree; Mohite, Sharada; Patil, Yogita; Kulkarni, Mahesh; Joshi, Rakesh; Pandya, Vaibhav; Mahajan, Sachin; Patil, Amita; Samson, Rachel; Vare, Tejas; Dharne, Mahesh; Giri, Ashok; Mahajan, Sachin; Paranjape, Shilpa; Sastry, G Narahari; Kalita, Jatin; Phukan, Tridip; Manna, Prasenjit; Romi, Wahengbam; Bharali, Pankaj; Ozah, Dibyajyoti; Sahu, Ravi Kumar; Dutta, Prachurjya; Singh, Moirangthem Goutam; Gogoi, Gayatri; Tapadar, Yasmin Begam; Babu, Elapavalooru Vssk; Sukumaran, Rajeev K; Nair, Aishwarya R; Puthiyamadam, Anoop; Valappil, Prajeesh Kooloth; Pillai Prasannakumari, Adrash Velayudhan; Chodankar, Kalpana; Damare, Samir; Agrawal, Ved Varun; Chaudhary, Kumardeep; Agrawal, Anurag; Sengupta, Shantanu; Dash, Debasis

Identification and epidemiological characterization of Type-2 diabetes sub-population using an unsupervised machine learning approach

利用无监督机器学习方法识别和流行病学表征2型糖尿病亚人群

Bej, Saptarshi; Sarkar, Jit; Biswas, Saikat; Mitra, Pabitra; Chakrabarti, Partha; Wolkenhauer, Olaf

Distinct pathoclinical clusters among patients with uncontrolled type 2 diabetes: results from a prospective study in rural India

印度农村一项前瞻性研究发现,2型糖尿病控制不佳的患者存在不同的病理临床集群。

Aravindakshan, Manoja Rajalakshmi; Maity, Sujay Krishna; Paul, Avishek; Chakrabarti, Partha; Mandal, Chittaranjan; Sarkar, Jit