Looking beyond the hype: Applied AI and machine learning in translational medicine.

Looking beyond the hype: Applied AI and machine learning in translational medicine.

Publication date: Aug 26, 2019

Big data problems are becoming more prevalent for laboratory scientists who look to make clinical impact. A large part of this is due to increased computing power, in parallel with new technologies for high quality data generation. Both new and old techniques of artificial intelligence (AI) and machine learning (ML) can now help increase the success of translational studies in three areas: drug discovery, imaging, and genomic medicine. However, ML technologies do not come without their limitations and shortcomings. Current technical limitations and other limitations including governance, reproducibility, and interpretation will be discussed in this article. Overcoming these limitations will enable ML methods to be more powerful for discovery and reduce ambiguity within translational medicine, allowing data-informed decision-making to deliver the next generation of diagnostics and therapeutics to patients quicker, at lowered costs, and at scale.

Open Access PDF

Toh, T.S., Dondelinger, F., and Wang, D. Looking beyond the hype: Applied AI and machine learning in translational medicine. 05282. 2019 EBioMedicine.

Concepts Keywords
AI Drug discovery
Artificial Intelligence Translational medicine
Drug Discovery Artificial intelligence
Genomic Medicine
Reproducibility
Translational Medicine

Semantics

Type Source Name
gene UNIPROT CASP8
disease MESH visual
gene UNIPROT OLAH
gene UNIPROT DSP
gene UNIPROT PROC
gene UNIPROT ENG
gene UNIPROT LAT2
gene UNIPROT TNIP1
disease DOID aortic aneurysm
disease MESH aortic aneurysm
gene UNIPROT SPIN1
gene UNIPROT GTF2I
gene UNIPROT ATIC
drug DRUGBANK Selumetinib
gene UNIPROT EXOG
disease DOID cancer
drug DRUGBANK L-Valine
disease MESH Community
gene UNIPROT TNFSF14
drug DRUGBANK Guanosine
gene UNIPROT CBLIF
drug DRUGBANK Nonoxynol-9
gene UNIPROT BIRC6
gene UNIPROT ARID1A
gene UNIPROT RXFP2
gene UNIPROT MET
gene UNIPROT SLTM
drug DRUGBANK Methionine
gene UNIPROT TNFRSF19
disease MESH dif
disease DOID PPCD
disease MESH privacy
gene UNIPROT RNH1
gene UNIPROT SCN8A
gene UNIPROT SHOX2
drug DRUGBANK Tropicamide
drug DRUGBANK Nicorandil
gene UNIPROT CCAR1
gene UNIPROT TALDO1
gene UNIPROT LRSAM1
gene UNIPROT PTPN5
drug DRUGBANK Aspartame
disease MESH Multi
disease MESH growth
drug DRUGBANK Ipilimumab
pathway BSID Melanoma
disease DOID melanoma
disease MESH melanoma
disease MESH cancers
drug DRUGBANK Durvalumab
gene UNIPROT SETBP1
gene UNIPROT FAT1
gene UNIPROT EGFR
gene UNIPROT STK11
disease DOID squamous carcinoma
disease MESH squamous carcinoma
disease DOID lung adenocarcinoma
disease MESH lung adenocarcinoma
disease MESH diagnosis
drug DRUGBANK Flunarizine
drug DRUGBANK Fenamole
gene UNIPROT AICDA
gene UNIPROT CEL
gene UNIPROT LITAF
gene UNIPROT TNFRSF11A
disease DOID medulloblastoma
disease MESH medulloblastoma
pathway BSID Methylation
gene UNIPROT NRAS
gene UNIPROT BRAF
gene UNIPROT KCNK3
pathway BSID Release
drug DRUGBANK Coenzyme M
gene UNIPROT ELK3
gene UNIPROT EPHB1
gene UNIPROT SLC6A2
gene UNIPROT MICAL1
gene UNIPROT DEPP1
gene UNIPROT GOPC
gene UNIPROT NFKBIZ
gene UNIPROT CDA
drug DRUGBANK Spinosad
gene UNIPROT LARGE1
gene UNIPROT IMPACT
gene UNIPROT FICD

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