Systematic, comprehensive, evidence-based approach to identify neuroprotective interventions for motor neuron disease: using systematic reviews to inform expert consensus.
Charis WongJenna M GregoryJing LiaoKieren J EganHanna M VesterinenAimal Ahmad KhanMohammed Ma'arij AnwarCaitlin BeaganFraser S BrownJohn CafferkeyAlessandra CardinaliJane Yi ChiamClaire ChiangVictoria G CollinsJoyce DormidoElizabeth ElliottPeter FoleyYu Cheng FooLily Fulton-HumbleAngus B GaneStella A GlasmacherÁine HeffernanKiran JayaprakashNimesh JayasuriyaAmina KaddouriJamie KiernanGavin LanglandsD LeightonJiaming LiuJames LyonArpan R MehtaAlyssa MengVivienne NguyenNa Hyun ParkSuzanne QuigleyYousuf RashidAndrea SalzingerBethany ShiellAnkur SinghTim SoaneAlexandra ThompsonOlaf TomalaFergal M WaldronBhuvaneish T SelvarajJeremy ChatawayRobert SwinglerPeter ConnickSuvankar PalSiddharthan ChandranMalcolm Robert MacLeodPublished in: BMJ open (2023)
For future drug selection, we will incorporate automation tools, text-mining and machine learning techniques to the systematic reviews and consider data generated from other domains, including high-throughput phenotypic screening of human iPSCs.
Keyphrases
- high throughput
- systematic review
- machine learning
- induced pluripotent stem cells
- meta analyses
- endothelial cells
- big data
- physical activity
- electronic health record
- single cell
- artificial intelligence
- pluripotent stem cells
- smoking cessation
- cerebral ischemia
- emergency department
- randomized controlled trial
- deep learning
- adverse drug
- brain injury
- subarachnoid hemorrhage