Ronghua Bei, Justin Thomas, Shiven Kapur, Mahlet Woldeyes, Adam Rauk, Jason Robarge, Jiangyan Feng, Kaoutar Abbou Oucherif
Predicting the clinical subcutaneous absorption rate constant of monoclonal antibodies using only the primary sequence: a machine learning approach
mAbs
feedback clinical reasoning skills fieldwork education regarded vital occupational therapy students professional development nature supervisors feedback however could confirmative andor corrective corrective feedback could without suggestions improve aim study evaluate impact supervisors feedback finalyear occupational therapy students clinical reasoning skills comparing nature feedback students subsequent clinical reasoning ability mixedmethod approach convergent parallel design used combining collection analysis qualitative quantitative data focus groups interviews students data collected analysed qualitatively determine students experienced feedback received supervisors quantitatively comparing final practical exam grades nature feedback fieldwork endofterm grades average academic performance became possible merge results comparison interpretation students clinical reasoning skills seem improved corrective feedback accompanied suggestions improve irrespective average academic performance supervisors inclined underrate high performing students overrate lower performing students students obtained higher grades final practical examinations received corrective feedback suggestions improve supervisors confirmative feedback alone may sufficient improving clinical reasoning skills students