Results 161 to 170 of about 244,877 (310)

Interpretable multiple instance learning

With the rising use of Artificial Intelligence (AI) and Machine Learning (ML) methods, there comes an increasing need to understand how automated systems make decisions.
Early, Joseph Arthur
core   +1 more source

Ten key considerations for developing interpretable risk prediction models. [PDF]

Front Bioinform
Zhang X, Xu W, Smith DR.
europepmc   +1 more source

Interpretable Tensor Fusion [PDF]

Conventional machine learning methods are predominantly designed to predict outcomes based on a single data type. However, practical applications may encompass data of diverse types, such as text, images, and audio.
Balinskyy, Andriy, Mehta, Purvanshi, Mustafa, Waleed, Liznerski, Philipp, Kloft, Marius, Varshneya, Saurabh, Ledent, Antoine   +6 more
core  

Artificial molecular machines and motors—Design and control of nanoscale motion

FEBS Letters, EarlyView.
Molecules are constantly moving because of thermal fluctuations, but random motion alone cannot be exploited to perform directional tasks. Artificial molecular machines use chemical, electrical, or light energy to bias this motion. Molecular shuttles, rotary motors, and supramolecular pumps illustrate how nanoscale movement can be controlled and ...
Leonardo Andreoni, Alberto Credi
wiley   +1 more source

Evaluation of short- and long-term mortality prediction in patients undergoing hip fracture surgery using a biomarker-based interpretable predictive modeling approach: a retrospective cohort analysis. [PDF]

BMC Med Inform Decis Mak
Öner SF, Karataş SŞ, Bulut OK, Karataş F.   +3 more
europepmc   +1 more source

The heterodimeric amino acid transporters (HAT) of the SLC7/SLC3 family: A structure−function relationships and relevance to human pathology

FEBS Letters, EarlyView.
Heterodimeric amino acid transporters consist of SLC7 and SLC3 family proteins arranged in a conserved structural organization. They regulate nutrient transport across cell membranes, supporting essential cellular functions. These transporters also contribute to xenobiotic/drug uptake and distribution.
Mariafrancesca Scalise, Tiziano Mazza, Raffaella Scanga, Lara Console, Michele Galluccio, Cesare Indiveri   +5 more
wiley   +1 more source

An interpretable computational phenotyping pipeline for adult autism using routine electronic health records. [PDF]

Front Psychiatry
Rodeiro-Boliart J, Nuñez-Jimenez M, Olaya B, Huerta-Ramos E, Golobardes E.   +4 more
europepmc   +1 more source

A context‐dependent modulatory role for eIF6 in acquired resistance to vemurafenib in melanoma

FEBS Letters, EarlyView.
Acquired resistance to vemurafenib upregulates the translation factor eIF6 in melanoma cells. Silencing eIF6 in resistant cells reduces proliferation and partially restores drug sensitivity, whereas its overexpression increases sensitivity across melanoma lines regardless of BRAF status, via modulation of mTOR, S6K, and MAPK signaling.
George Kyriakopoulos, Antonia Petropoulou, Alexandra Anastogianni, Angelina Bania, Vassilis Stamatakis, Argyris Alexiou, Chi‐Ping Day, Glenn Merlino, Katerina Grafanaki, Constantinos Stathopoulos   +9 more
wiley   +1 more source

Interpretable distillation reveals that deep learning splicing models suffer from pervasive confounders and blind spots. [PDF]

Genome Biol
Liu S, Zhang W, Regev O.
europepmc   +1 more source

The ubiquitin system in normal and infected germinal center B cells

FEBS Letters, EarlyView.
The ubiquitin system plays a central role in germinal center (GC) B cells, influencing differentiation to long‐lived memory B cells. Oncogenic gammaherpesviruses gain access to memory B cells by establishing latency in GC B cells. Mapping ubiquitin mechanisms in normal and infected GC B cells will define specific molecular circuits in B cells germane ...
Destiny Davis, Lesly Mejia, Emily K Moser   +2 more
wiley   +1 more source