Results 51 to 60 of about 1,768,773 (316)
, 2019 In recent years, it has become easy to obtain location information quite precisely. However, the acquisition of such information has risks such as individual identification and leakage of sensitive information, so it is necessary to protect the privacy ...
A Wasef +8 more
core +1 more source
From omics to AI—mapping the pathogenic pathways in type 2 diabetes
FEBS Letters, EarlyView.Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan +2 more
wiley +1 more source
Composition Properties of Inferential Privacy for Time-Series Data
, 2017 With the proliferation of mobile devices and the internet of things, developing principled solutions for privacy in time series applications has become increasingly important.
Chaudhuri, Kamalika, Song, Shuang
core +1 more source
Molecular Oncology, EarlyView.MET variants in the N‐lobe of the kinase domain, found in hereditary papillary renal cell carcinoma, require ligand stimulation to promote cell transformation, in contrast to other RTK variants. This suggests that HGF expression in the microenvironment is important for tumor growth in such patients. Their sensitivity to MET inhibitors opens the way for
Célia Guérin +14 more
wiley +1 more source
Context-Aware Generative Adversarial Privacy
, 2017 Preserving the utility of published datasets while simultaneously providing provable privacy guarantees is a well-known challenge. On the one hand, context-free privacy solutions, such as differential privacy, provide strong privacy guarantees, but often
Chen, Xiao +4 more
core +2 more sources
Communications of the ACM, 2016 Seeking a market-based solution to the problem of a person's unjustified inaccessibility to their private information.
Yuri Gurevich +2 more
openaire +2 more sources
Molecular Oncology, EarlyView.Alectinib resistance in ALK+ NSCLC depends on treatment sequence and EML4‐ALK variants. Variant 1 exhibited off‐target resistance after first‐line treatment, while variant 3 and later lines favored on‐target mutations. Early resistance involved off‐target alterations, like MET and NF2, while on‐target mutations emerged with prolonged therapy.
Jie Hu +11 more
wiley +1 more source
IEEE Access, 2018 Android platform has dominated the operating system of mobile devices. However, the dramatic increase of Android malicious applications (malapps) has caused serious software failures to Android system and posed a great threat to users.
Wei Wang +5 more
doaj +1 more source
Quantifying Differential Privacy under Temporal Correlations
, 2017 Differential Privacy (DP) has received increased attention as a rigorous privacy framework. Existing studies employ traditional DP mechanisms (e.g., the Laplace mechanism) as primitives, which assume that the data are independent, or that adversaries do ...
Cao, Yang +3 more
core +1 more source