News

Presenting and Trainee Award at nanoDDS for Zilu

Zilu presented his work on a hybrid kernel machine to design tunable nanoparticles for drug delivery at the 22nd International Nanomedicine and Drug Delivery Symposium (NanoDDS 2024) and won a trainee travel award, congrats!

Welcome Lamis, Sophia, and Rebeca!

We are very excited to welcome three new members to our lab. Lamis is a NIH PRIME-PREP fellow, Sophia is a graduate student, and Rebeca is a post-doc. Looking forward to the exciting research from you all!

Work Using Paired Molecular Representations for Active Learning Published

We are excited to share that our work entitled "Finding the most potent compounds using active learning on molecular pairs" has been published in the Beilstein Journal of Organic Chemistry: https://www.beilstein-journals.org/bjoc/articles/20/185

Presenting at ACS 2024

Daniel gave 3 talks at the Fall 2024 ACS National Meeting.

News And Views Published in Nature Chemistry

We are excited to share a News and Views article in Nature Chemistry about an exciting new study by Lucy Colwell and colleagues ( https://www.nature.com/articles/s41557-024-01532-x ) where we discuss the the potential of machine learning to support peptide drug design: https://www.nature.com/…

Presenting at CRS 2024

Daniel presented two talks and a poster at the Controlled Release Society meeting.

Work Using Bounded Data to Classify Potency Improvements Published in RSC Med Chem

We are happy to share that our work entitled "Leveraging bounded datapoints to classify molecular potency improvements" has been published open source in RSC Medicinal Chemistry. Link: https://pubs.rsc.org/en/content/articlelanding/2024/md/d4md00325j

Cancer Nanoparticle Analysis Published in Nature Nanotechnology

We are excited to announce that our collaborative work "A large-scale machine learning analysis of inorganic nanoparticles in preclinical cancer research" has been published in Nature Nanotechnology. Thanks and congrats to our collaborators in the Conde and Rodrigues labs from Universidade de…

Congrats to Bert on Winning Best Resident Research Award

Congrats to Bert for winning first place (Bill White Award) for resident research at Duke Anesthesiology’s 32nd Annual Academic Evening. He was quoted as saying "The evening provided an amazing showcase of the breadth of innovative anesthesia research at Duke. I am excited and honored to receive…

Congrats to Daniel on the 2024 Klein Family Distinguished Teaching Award

Daniel received the 2024 Klein Family Distinguished Teaching Award for his efforts teaching classes covering biomaterials, pharmacology, and machine learning while fostering a welcoming and supportive classroom. Congrats to Daniel and we are thankful for this recognition!

Congrats Chloe and Joe on NSF GRFP!

We are thrilled to announce that Chloe and Joe received the NSF GRFP. We are so proud of you both for this accomplishment!

Prodrug Analysis Published in Nature Reviews Drug Discovery

Our work "The landscape of small-molecule prodrugs" has been published in Nature Reviews Drug Discovery. Using cheminformatics, we highlight rationales for prodrug design, prodrug indications, mechanisms of API release, the chemistry of promoieties, and prodrug market impact. Thanks to our great…

Analysis of Computational Drug Development Companies Published in Nature Computational Science

Our work "Characterizing emerging companies in computational drug development" has been published in Nature Computational Science. Congrats to Chloe who spearheaded this work and all our collaborators from Bellevue Asset Management.

Transportome Work Published in Nature Biomedical Engineering

Excited to share that our work "Screening oral drugs for their interactions with the intestinal transportome via porcine tissue explants and machine learning" is finally published in Nature Biomedical Engineering. Thanks to everyone who contributed to this great project!

Yoked Learning Work Published in Artificial Intelligence in the Life Sciences

We are happy to share that our work on yoked learning for molecular data science has now been published in Artificial Intelligence in the Life Sciences