2667-3185

Artificial Intelligence in the Life Sciences

Elsevier

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High impact159 DOIs
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DOIs for this ISSN

Showing the top 5 of 159 DOIs, ordered by correction priority.

# Title Missing Priority Citations
1 Machine learning in agriculture domain: A state-of-art surve… (10.1016/j.ailsci.2021.100010)
Abstract ORCID
118.37 232
2 Signal Detection in Pharmacovigilance: A Review of Informati… (10.1016/j.ailsci.2021.100005)
Abstract ORCID
74.57 30
3 BeeToxAI: An artificial intelligence-based web app to assess… (10.1016/j.ailsci.2021.100013)
Abstract ORCID
73.12 28
4 Fast-bonito: A faster deep learning based basecaller for nan… (10.1016/j.ailsci.2021.100011)
Abstract ORCID
72.36 27
5 Maxsmi: Maximizing molecular property prediction performance… (10.1016/j.ailsci.2021.100014)
Abstract ORCID
68.09 22
6 Novel computational models offer alternatives to animal test… (10.1016/j.ailsci.2021.100028)
Abstract ORCID
67.12 21
7 The development trend of artificial intelligence in medical:… (10.1016/j.ailsci.2021.100006)
Abstract ORCID
62.76 17
8 Application of AI techniques and robotics in agriculture: A… (10.1016/j.ailsci.2023.100057)
Abstract
55.70 168
9 Exploring new horizons: Empowering computer-assisted drug de… (10.1016/j.ailsci.2023.100086)
Abstract ORCID
55.70 12
10 Combinatorial analytics: An essential tool for the delivery… (10.1016/j.ailsci.2021.100003)
Abstract ORCID
53.96 11
11 Machine Learning Based Prediction of COVID-19 Mortality Sugg… (10.1016/j.ailsci.2021.100020)
Abstract ORCID
53.96 11
12 Identification of bile salt export pump inhibitors using mac… (10.1016/j.ailsci.2021.100027)
Abstract ORCID
52.07 10
13 Current status of active learning for drug discovery (10.1016/j.ailsci.2021.100023)
Abstract ORCID
50.00 9
14 Computational prediction of frequent hitters in target-based… (10.1016/j.ailsci.2021.100007)
Abstract ORCID
47.71 8
15 AutoGGN: A gene graph network AutoML tool for multi-omics re… (10.1016/j.ailsci.2021.100019)
Abstract ORCID
47.71 8
16 Dealing with a data-limited regime: Combining transfer learn… (10.1016/j.ailsci.2021.100021)
Abstract ORCID
47.71 8
17 Learning functional group chemistry from molecular images le… (10.1016/j.ailsci.2021.100022)
Abstract ORCID
47.71 8
18 Classification of JAK1 Inhibitors and SAR Research by Machin… (10.1016/j.ailsci.2022.100039)
Abstract ORCID
47.71 8
19 Trends and challenges in chemoinformatics research in Latin… (10.1016/j.ailsci.2023.100077)
Abstract ORCID
47.71 8
20 AutoOmics: New multimodal approach for multi-omics research (10.1016/j.ailsci.2021.100012)
Abstract ORCID
42.25 6
21 AutoGenome: An AutoML tool for genomic research (10.1016/j.ailsci.2021.100017)
Abstract ORCID
42.25 6
22 Can deep learning revolutionize clinical understanding and d… (10.1016/j.ailsci.2021.100018)
Abstract ORCID
42.25 6
23 Optimizing active learning for free energy calculations (10.1016/j.ailsci.2022.100050)
Abstract
41.33 44
24 Recent advances and application of generative adversarial ne… (10.1016/j.ailsci.2022.100045)
Abstract
40.58 41
25 Understanding the performance of knowledge graph embeddings… (10.1016/j.ailsci.2022.100036)
Abstract
39.21 36
26 Introducing artificial intelligence in the life sciences (10.1016/j.ailsci.2021.100001)
Abstract References
38.91 5
27 Natural products subsets: Generation and characterization (10.1016/j.ailsci.2023.100066)
Abstract ORCID
38.91 5
28 Machine learning for small molecule drug discovery in academ… (10.1016/j.ailsci.2022.100056)
Abstract
36.56 28
29 Deep neural network architectures for cardiac image segmenta… (10.1016/j.ailsci.2023.100083)
Abstract
36.18 27
30 Quantifying sources of uncertainty in drug discovery predict… (10.1016/j.ailsci.2021.100004)
Abstract ORCID
34.95 4
31 A natural language processing system for the efficient updat… (10.1016/j.ailsci.2023.100078)
Abstract ORCID
34.95 4
32 Exploring chemical space — Generative models and their evalu… (10.1016/j.ailsci.2023.100064)
Abstract
33.56 21
33 Pharmaceutical patent landscaping: A novel approach to under… (10.1016/j.ailsci.2023.100069)
Abstract
33.06 20
34 Modeling and survival exploration of breast carcinoma: A sta… (10.1016/j.ailsci.2023.100082)
Abstract
32.53 19
35 HematoNet: Expert level classification of bone marrow cytolo… (10.1016/j.ailsci.2022.100043)
Abstract
31.38 17
36 Combining molecular and cell painting image data for mechani… (10.1016/j.ailsci.2023.100060)
Abstract
31.38 17
37 An in silico pipeline for the discovery of multitarget ligan… (10.1016/j.ailsci.2021.100008)
Abstract ORCID
30.10 3
38 Chemistry-centric explanation of machine learning models (10.1016/j.ailsci.2021.100009)
Abstract ORCID
30.10 3
39 Co-folding, the future of docking – prediction of allosteric… (10.1016/j.ailsci.2025.100136)
Abstract
30.10 15
40 Bayesian optimization for ternary complex prediction (BOTCP) (10.1016/j.ailsci.2023.100072)
Abstract
29.40 14
41 piCRISPR: Physically informed deep learning models for CRISP… (10.1016/j.ailsci.2023.100075)
Abstract
29.40 14
42 LIDeB Tools: A Latin American resource of freely available,… (10.1016/j.ailsci.2022.100049)
Abstract
28.65 13
43 Designing microplate layouts using artificial intelligence (10.1016/j.ailsci.2023.100073)
Abstract
27.85 12
44 Analysis of Swin-UNet vision transformer for Inferior Vena C… (10.1016/j.ailsci.2023.100084)
Abstract
26.98 11
45 Deep metric learning for the classification of MALDI-TOF spe… (10.1016/j.ailsci.2023.100071)
Abstract
26.03 10
46 Artificial intelligence-open science symbiosis in chemoinfor… (10.1016/j.ailsci.2024.100096)
Abstract
26.03 10
47 Discovery of novel A2AR antagonists through deep learning-ba… (10.1016/j.ailsci.2023.100058)
Abstract
25.00 9
48 Modeling PROTAC degradation activity with machine learning (10.1016/j.ailsci.2024.100104)
Abstract
25.00 9
49 Fiscore package: Effective protein structural data visualisa… (10.1016/j.ailsci.2021.100016)
Abstract ORCID
23.86 2
50 The commoditization of AI for molecule design (10.1016/j.ailsci.2022.100031)
Abstract ORCID
23.86 2