# A novel machine-learning-derived genetic score correlates with measurable residual disease and is highly predictive of outcome in acute myeloid leukemia with mutated NPM1

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-novel-machine-learning-derived-genetic-score-correlates-with-measurable/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Nikhil Patkar,Anam Fatima Shaikh,Chinmayee Kakirde,Shrinidhi Nathany,Hridya Ramesh,Prasanna Bhanshe,Swapnali Joshi,Shruti Chaudhary,Sadhana Kannan,Syed K. Hasan,Gaurav Chatterjee,Prashant Tembhare,Dhanalaxmi Shetty,Anant Gokarn,Sachin Punatkar,Avinash Bonda,Lingaraj Nayak,Hasmukh Jain,Navin Khattry,Bhausaheb Bagal,Manju Sengar,Sumeet Gujral,Papagudi Ganesan Subramanian |
| Citations | 23 |
| DOI | 10.1038/s41408-019-0244-2 |
| Fields | Biochemistry, Genetics and Molecular Biology,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41408-019-0244-2.pdf |
| OpenAlex ID | https://openalex.org/W2978741842 |
| PMID | 31575857 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Shrinidhi Nathany](https://scholariq.org/researchers/shrinidhi-nathany/)

## Paper primary topic

- [Acute Myeloid Leukemia Research](https://scholariq.org/topics/acute-myeloid-leukemia-research/)

## Paper topics

- [Acute Myeloid Leukemia Research](https://scholariq.org/topics/acute-myeloid-leukemia-research/)
- [Myeloproliferative Neoplasms: Diagnosis and Treatment](https://scholariq.org/topics/myeloproliferative-neoplasms-diagnosis-and-treatment/)
- [Cancer Genomics and Diagnostics](https://scholariq.org/topics/cancer-genomics-and-diagnostics/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.