Results 271 to 280 of about 519,424 (339)

Artificial intelligence modelling of tyrosine kinase inhibitors at risk of malabsorption and bioavailability‐enhancing strategies

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
Aims The study aims to predict and improve the absorption of tyrosine kinase inhibitors (TKIs) in patients with malabsorption issues, particularly those who have undergone bariatric surgery or are using proton‐pump inhibitors. The research involves 2 main components: the development of an artificial intelligence (AI) model to identify TKIs that are ...
Daan W. Huntjens   +8 more
wiley   +1 more source

Engineering antibodies with cancer‐associated binding sites

open access: yesBMEMat, EarlyView.
This review describes antibodies that perform direct/indirect roles in cancer treatment by binding to effective targets and discusses how antibodies kill tumors and modulate tumor microenvironment through these targets. The classification of expression systems for antibody production is summarized to guide appropriate selection based on different ...
Yinqi Tian   +4 more
wiley   +1 more source

Drug- and Vaccine-Induced Cutaneous T-Cell Lymphoma: A Systematic Review of the Literature. [PDF]

open access: yesJ Skin Cancer
Etesami I   +12 more
europepmc   +1 more source

Unveiling the complexity of cellular senescence in cancers: From mechanism to therapeutic opportunities

open access: yesBMEMat, EarlyView.
This review highlights the complex roles of cellular senescence in cancer progression and suppression, discusses the mechanisms and regulatory pathways involved, and evaluates the efficacy of the “One‐Two punch” sequential treatment approach while addressing emerging challenges in this novel therapeutic strategy.
Qiuming Pan   +12 more
wiley   +1 more source

A digital shadow of CAR T cell expansion in a perfusion bioreactor: Informing optimal harvest times for autologous cell therapy

open access: yesBiotechnology Progress, EarlyView.
Using online metabolite data from the first few days of a bioreactor run, the digital shadow can forecast the cell concentration in real‐time with an accuracy of 13% (standard deviation ≈ 6%). These predictions can guide the optimal harvest time of CAR T cells for subsequent re‐infusion into the patient.
Joseph R. Egan   +11 more
wiley   +1 more source

Expert Perspective: Hematologic Malignancies and Vasculitis

open access: yes
Arthritis &Rheumatology, EarlyView.
Michelle L. Robinette, Hetty E. Carraway
wiley   +1 more source

Home - About - Disclaimer - Privacy