Artificial Intelligence and Black‐Box Medical Decisions: Accuracy versus Explainability

AJ London - Hastings Center Report, 2019 - Wiley Online Library
Although decision‐making algorithms are not new to medicine, the availability of vast stores
of medical data, gains in computing power, and breakthroughs in machine learning are …

[HTML][HTML] Human-centered explainability for life sciences, healthcare, and medical informatics

S Dey, P Chakraborty, BC Kwon, A Dhurandhar… - Patterns, 2022 - cell.com
Rapid advances in artificial intelligence (AI) and availability of biological, medical, and
healthcare data have enabled the development of a wide variety of models. Significant …

[HTML][HTML] Perfume and flavor engineering: a chemical engineering perspective

AE Rodrigues, I Nogueira, RPV Faria - Molecules, 2021 - mdpi.com
In the last two decades, scientific methodologies for the prediction of the design,
performance and classification of fragrance mixtures have been developed at the Laboratory …

Machine learning for scent: Learning generalizable perceptual representations of small molecules

B Sanchez-Lengeling, JN Wei, BK Lee… - arXiv preprint arXiv …, 2019 - arxiv.org
Predicting the relationship between a molecule's structure and its odor remains a difficult,
decades-old task. This problem, termed quantitative structure-odor relationship (QSOR) …

SMILES to smell: decoding the structure–odor relationship of chemical compounds using the deep neural network approach

A Sharma, R Kumar, S Ranjta… - Journal of Chemical …, 2021 - ACS Publications
Finding the relationship between the structure of an odorant molecule and its associated
smell has always been an extremely challenging task. The major limitation in establishing …

Bitter odorants and odorous bitters: toxicity and human TAS2R targets

E Margulis, T Lang, A Tromelin, E Ziaikin… - Journal of Agricultural …, 2023 - ACS Publications
Flavor is perceived through the olfactory, taste, and trigeminal systems, mediated by
designated GPCRs and channels. Signal integration occurs mainly in the brain, but some …

[HTML][HTML] Predicting individual perceptual scent impression from imbalanced dataset using mass spectrum of odorant molecules

T Debnath, T Nakamoto - Scientific reports, 2022 - nature.com
Predicting odor impression is considered an important step towards measuring the quality of
scent in the food, perfume, and cosmetic industries. In odor impression identification and …

[HTML][HTML] Text-based predictions of COVID-19 diagnosis from self-reported chemosensory descriptions

H Li, RC Gerkin, A Bakke, R Norel, G Cecchi… - Communications …, 2023 - nature.com
Background There is a prevailing view that humans' capacity to use language to
characterize sensations like odors or tastes is poor, providing an unreliable source of …

Bridging odorants and olfactory perception through machine learning: A review

R Zhong, Z Ji, S Wang, H Chen - Trends in Food Science & Technology, 2024 - Elsevier
Background In the field of human olfactory perception (OP) and odorant chemistry (OC), a
substantial corpus of data has been amassed, with efforts directed towards constructing …

Metabolic activity organizes olfactory representations

WW Qian, JN Wei, B Sanchez-Lengeling, BK Lee… - Elife, 2023 - elifesciences.org
Hearing and vision sensory systems are tuned to the natural statistics of acoustic and
electromagnetic energy on earth and are evolved to be sensitive in ethologically relevant …