When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
A novel sustainable hybrid intuitionistic fuzzy decision-making model for machinability ranking of Al-Cu-Mg-SiC-graphite-peanut shell hybrid composites. [PDF]
Sivam SPSS +3 more
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AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia +2 more
wiley +1 more source
Duckworth-Lewis-Stern modeling with fuzzy logic and contextual indices for target revision in cricket. [PDF]
Samanta S +3 more
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Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
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A new approach to MADM problem using interval-valued hesitant Fermatean fuzzy Hamacher operators and statistical variance. [PDF]
Ma X +5 more
europepmc +1 more source
A fuzzy ZE-number group decision-making framework using BWM and MABAC for risk assessment in medicinal plant extraction. [PDF]
Gheytasi F +5 more
europepmc +1 more source
Enhancement of Digital Mammography Images Using Neutrosophic Divergence Score Based on Intuitionistic Fuzzy Entropy. [PDF]
Pourreza L, Aghazadeh N, Hashemzadeh M.
europepmc +1 more source
Fuzzy Vaults in Biometric Cryptosystems: A Survey of Techniques, Performance, and Applications. [PDF]
Farheen F, Yang WY, Sharma S, Singh S.
europepmc +1 more source

