Top Tweets for #WorldPBP
Great to listen to Silvia Matiz - @intractpharma speaking on orally delivered #biologics at #WorldPBP 2022 π
Great to have @COR11646 speaking on stage at #WorldPBP 2022 on using #machinelearning and #machinevision for the development of orally dissolving films. Representing @School_Pharmacy and @transpharmatech π
First year PhD candidate @AleFavaron shared her exciting work using #machinelearning to predict drug depletion from intestinal #microbiota. Come by booth no. 92 at #WorldPBP @PBP_organisers to find out more!! π @School_Pharmacy
Dr @AtheerAwad93 is at booth no. 1 at #WorldPBP today presenting her work on using #3DPrinting for the manufacture of #mAbs in suppository form. Excellent collab from @BasitResearch and @INTERREGTweets using @FabRx_3DPβs M3DIMAKER! π
PhD Research Candidate, Patricija Januskaite, presents her work at #WorldPBP @PBP_organisers on #3DPrinting pranziquantel using #DirectPowderExtrusion. Come to booth no. 2 for more discussion! Representing @transpharmatech π
@mineorluUCL @BasitResearch @School_Pharmacy @UCLResearch @sexinscience @PBP_organisers Thank you so much, @mineorluUCL! We miss you at the #WorldPBP Conference.
Final year PhD candidate @cm_madla just spoke at #WorldPBP @PBP_organisers on her work on sex-dependent excipient action on drug response. Find out more about the field here > https://t.co/HND24EnmTY
Had the absolute pleasure of speaking at #WorldPBP on the sex-dependent mechanism of actions of excipients on drug bioavailability. Thank you for the opportunity! #WomenInSTEM #sexdifferences @BasitResearch @School_Pharmacy @UCLResearch @sexinscience @PBP_organisers
Had the absolute pleasure of speaking at #WorldPBP on the sex-dependent mechanism of actions of excipients on drug bioavailability. Thank you for the opportunity! #WomenInSTEM #sexdifferences @BasitResearch @School_Pharmacy @UCLResearch @sexinscience @PBP_organisers
At booth no. 50 and 75, final year PhD Candidate @cescagavins presents two posters on non-nutritive food effects on #Pgp expression in the GI tract and #machinelearning the predicting food effects on oral #medicines π #WorldPBP
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