Results 141 to 150 of about 11,200,376 (224)

Crowd counting at the edge using weighted knowledge distillation. [PDF]

Sci Rep
Khan MA, Menouar H, Hamila R, Abu-Dayya A.   +3 more
europepmc   +1 more source

Machines as Models in Biological Experiments [PDF]

, 1958

openalex   +1 more source

Peripheral blood proteome biomarkers distinguish immunosuppressive features of cancer progression

Molecular Oncology, EarlyView.
Immune status significantly influences cancer progression. This study used plasma proteomics to analyze benign 67NR and malignant 4T1 breast tumor models at early and late tumor stages. Immune‐related proteins–osteopontin (Spp1), lactotransferrin (Ltf), calreticulin (Calr) and peroxiredoxin 2 (Prdx2)–were associated with systemic myeloid‐derived ...
Yeon Ji Park, Jae Won Oh, Hyewon Chung, Jung Won Kwon, Yi Rang Na, Kwang Pyo Kim, Seung Hyeok Seok   +6 more
wiley   +1 more source

Depth-of-interaction encoding techniques for pixelated PET detectors enabled by machine learning methods and fast waveform digitization. [PDF]

Phys Med Biol
Dai B, Krishnamoorthy S, Morales E, Surti S, Karp JS.   +4 more
europepmc   +1 more source

Finishing and inspection of model surfaces for boundary-Layer-Transition tests [PDF]

, 1959
M. E. Wilkins, John F. Darsow
openalex   +1 more source

Stochastic variation in the FOXM1 transcription program mediates replication stress tolerance

Molecular Oncology, EarlyView.
Cellular heterogeneity is a major cause of drug resistance in cancer. Segeren et al. used single‐cell transcriptomics to investigate gene expression events that correlate with sensitivity to the DNA‐damaging drugs gemcitabine and prexasertib. They show that dampened expression of transcription factor FOXM1 and its target genes protected cells against ...
Hendrika A. Segeren, Kathryn A. Wierenga, Frank M. Riemers, Elsbeth A. van Liere, Bart Westendorp   +4 more
wiley   +1 more source

Four distinct models of learning health systems: Strength through diversity. [PDF]

Learn Health Syst
Friedman CP, Greene SM.
europepmc   +1 more source

Theory of dielectric relaxation for the three-dimensional polar rotator: Lattice models leading to bimodal loss curves

, 1957
John D. Hoffman, B. M. Axilrod
openalex   +1 more source

A New Model for the Expanding Universe [PDF]

, 1948
F. Hoyle
openalex   +1 more source

Targeting PRAME directly or via EZH2 inhibition overcomes retinoid resistance and represents a novel therapy for keratinocyte carcinoma

Molecular Oncology, EarlyView.
The study evaluated the function and therapeutic implications of PRAME in basal cell carcinoma (BCC) and squamous cell carcinoma (SCC). The findings demonstrate that PRAME impairs keratinocyte differentiation pathways. Furthermore, PRAME impairs anticancer response to retinoid compounds in BCC and SCC cells.
Brandon Ramchatesingh, Amelia Martinez Villarreal, Philippe Lefrançois, Jennifer Gantchev, Sriraam Sivachandran, Samy Abou Setah, Ivan V. Litvinov   +6 more
wiley   +1 more source