Zenodo PDF resource

The AI Revolution in Life Sciences: Technologies, Applications, and Future Directions

The AI Revolution in Life Sciences: Technologies, Applications, and Future Directions explores the transformative role of Artificial Intelligence (AI) in life-science research, healthcare, biotechnology, agriculture, and biological engineering. The book provides a concise and accessible overview of AI technologies, applications, opportunities, and challenges shaping this rapidly evolving field. It introduces key con…

Licence: OPEN CC-BY-4.0
Authors: Dr. Prabhavati, Dr. Soumya M. Hegde, Dr. Jagadevi Shivaputrappa , Dr.…
Published: 2026-08-27 · Zenodo
Language: en detected
Length: 44466 words
Type: narrative text

Cites 97 works

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Extracted text · CHAPTER 8 Page 2 of 2 in this chapter · Words 41,010–41,715 of 41,715

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Tuia, D., Schindler, K., Demir, B., et al. (2023). Artificial intelligence to advance Earth observation: A review of models, recent trends, and pathways forward. IEEE Geoscience and Remote Sensing Magazine.
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U.S. Food and Drug Administration. (2025a). Artificial Intelligence Program: Research on AI/ML-based medical devices.
U.S. Food and Drug Administration. (2025b). FDA issues comprehensive draft guidance for developers of artificial intelligence-enabled medical devices.
UNESCO. (2021). Recommendation on the Ethics of Artificial Intelligence. United Nations Educational, Scientific and Cultural Organization.
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Metadata record

One description, two standard projections

Built from what the sources declared and what the gates observed. Nothing absent has been filled in here. 97 links to or from other resources — a lab's files, the pages it links, the works it cites stand under their elements, marked inferred, and are kept apart in the exports.

Valid

Profile: aimpro-oer-profile/1 built 2026-10-09
Content language: en English

Export Dublin Core LOM Internal record

Show empty elements

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The groups below are this library's, for reading. DCMI Terms itself has no categories; each term keeps its standard name.

Identity 3/3

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doi:10.5281/zenodo.22124918
zenodo-record:22124918

This engine's id, the source URI, and any persistent identifier the source published.
Title dcterms:title source resource/title: The AI Revolution in Life Sciences: Technologies, Applications, and Future Directions

The title of this resource, not of the record or repository it came from.
Type dcterms:type source resource/resource_type/title: dcmitype:Text
Book

A DCMI Type term for the form held, plus the source's own genre label as declared.

Responsibility 1/3

Creator dcterms:creator

source resource/creators/0/name

Dr. Prabhavati, Dr. Soumya M. Hegde, Dr. Jagadevi Shivaputrappa , Dr. Mahesh Vilas Tanwade

Only agents the source named as creators. A repository owner is not made an author by default.

Contributor dcterms:contributor

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none found — the source did not declare it

Everyone else named, with the role as declared and the scope they were declared at.

Publisher dcterms:publisher

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Only when the source names a publisher of the work. The platform it was collected from is recorded as provenance instead.

Content 2/5

Description dcterms:description

source resource/title

The AI Revolution in Life Sciences: Technologies, Applications, and Future Directions explores the transformative role of Artificial Intelligence (AI) in life-science research, healthcare, biotechnology, agriculture, and biological engineering. The book provides a concise and accessible overview of AI technologies, applications, opportunities, and challenges shaping this rapidly evolving field. It introduces key concepts such as machine learning, deep learning, natural language processing, computer vision, predictive analytics, and generative AI, highlighting their ability to process complex datasets, identify patterns, improve prediction, and support scientific decision-making. The book examines important applications of AI in drug discovery, disease diagnosis, precision medicine, genomics, biotechnology, bioengineering, and precision agriculture. These applications demonstrate how AI can accelerate research, improve healthcare outcomes, enhance biological analysis, and support more efficient and sustainable systems. It also addresses responsible AI adoption through discussions of data privacy, cybersecurity, algorithmic bias, transparency, explainability, ethics, and regulatory challenges. Looking ahead, the book explores emerging areas such as generative AI, autonomous laboratories, digital biology, AI-driven biological discovery, and AI–quantum computing integration. Designed for students, researchers, academicians, healthcare professionals, biotechnology specialists, and life-science practitioners, the book provides a foundation for understanding both the current capabilities and future possibilities of AI. Ultimately, the book presents AI as a powerful enabling force capable of reshaping scientific discovery, healthcare, biotechnology, agriculture, and sustainable development, while emphasising the ethical and practical responsibilities that accompany its adoption.

The abstract, and the depositor's additional notes after it when the source has a field for them.

Subject dcterms:subject

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Declared keywords and taxonomy terms, each carrying its scheme.

Language dcterms:language

language gate read a heuristic

The language of the content as the language gate read it.

Audience dcterms:audience

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Rights 3/4

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The licence document, as a URI where the gate resolved one.

Rights dcterms:rights

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CC-BY-4.0 — assessed as OPEN by the harvester's licence gate. Conditions: attribution required. open, permissive

The verdict and the conditions, in words.

Rights holder dcterms:rightsHolder

none found — the source did not declare it

Only when named at source.

Access rights dcterms:accessRights

source resource/access_right

open

The access condition the source declared. Not the licence.

Form and dates 5/10

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source resource
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application/pdf
text/markdown

One value per form held — the original and the extracted text.

Extent dcterms:extent

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6381434 bytes (original)
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Sizes in bytes, each saying which form it measures.

Issued dcterms:issued

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2026-08-27

When the resource was published. Not when it was collected.

Modified dcterms:modified

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2026-08-27

When the source's own record was last changed.

Created dcterms:created

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2026-08-27

Accepted dcterms:dateAccepted

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When a publisher accepted the work, where the source records it.

Submitted dcterms:dateSubmitted

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When the work was submitted, where the source records it.

Available dcterms:available

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Valid dcterms:valid

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Bibliographic citation dcterms:bibliographicCitation

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Where the work was published, in the source's own words: a journal with its volume and pages, a conference, an imprint.

Relations and custody 2/9

Is part of dcterms:isPartOf

source resource

none found — the source did not declare it

The repository, book or record this resource was found inside.

Has part dcterms:hasPart

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none found — the source did not declare it

What this resource is made of, when the source lists its parts.

Is version of dcterms:isVersionOf

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Has version dcterms:hasVersion

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none found — the source did not declare it

References dcterms:references

inferred read its reference list, line 2045 citation

doi:10.1016/j.procbio.2025.05.023
doi:10.1097/sla.0000000000005700
doi:10.1038/s41591-024-03113-4
doi:10.1016/j.trac.2024.117944
arXiv:2103.16106
doi:10.1016/j.atech.2024.100425
doi:10.1038/s41586-024-07487-w
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doi:10.1016/j.imj.2024.100095
doi:10.1038/s41591-019-0447-x
and 85 more, every one of them in the export

Works this one cites, when the source declares them as relations. What its text links to and its reference list cites is inferred, and stands under it apart.

Is referenced by dcterms:isReferencedBy

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none found — the source did not declare it

What links to or cites this one, when a source declares it; inferred from the texts held otherwise, and set apart.

Requires dcterms:requires

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none found — the source did not declare it

What this resource needs in order to be used, when a source declares it. The files a lab works on are inferred, and stand under it apart.

Is required by dcterms:isRequiredBy

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none found — the source did not declare it

What needs this resource, when a source declares it. The lab a component belongs to is inferred, and stands under it apart.

Provenance dcterms:provenance

this engine source
source resource
conversion pdf

Retrieved from Zenodo on 2026-10-09 in response to the search string “("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("AI concepts" OR "types of AI" OR "AI fundamentals" OR "recognizing AI" OR "recognising AI" OR "general versus narrow AI" OR "narrow AI" OR "general AI" OR "machine intelligence" OR "AI strengths and weaknesses" OR "traditional software" OR "rule-based systems" OR "introduction to AI" OR "introduction to artificial intelligence" OR "artificial intelligence introduction" OR "AI primer" OR "foundations of artificial intelligence" OR "overview of AI" OR "understanding AI" OR "history of AI" OR "AI essentials" OR "AI terminology" OR "metaphors for AI" OR "AI fundamental concepts" OR "AI key concepts" OR "philosophy of AI" OR "critical AI literacy")”. Zenodo served the resource and is not asserted to be its publisher or author.
Text extracted from pdf to Markdown by pdf-inspector; the original is retained unchanged beside it.

Where it was collected from, what was converted, and what container it came out of — the custody statements that would otherwise be mistaken for authorship.

IEEE 1484.12.1 Learning Object Metadata. LOM has no element for an SPDX identifier or a licence URI, so both are written into 6.3 Rights.Description. Flattening this record into simple Dublin Core would lose more again, which is why the two projections exist side by side rather than one being generated from the other. the standard ↗

1 General 4/8

Identifier 1.1

this engine resource_id
source 2 assertions

URI: tag:aim-pro.eu,2026:oer/b30eeb09cb94
URI: https://zenodo.org/records/22124918
DOI: 10.5281/zenodo.22124918
ZENODO-RECORD: 22124918

This engine's identifier for the resource, the source URI, and any persistent identifier the source published.

Title 1.2

source resource/title

The AI Revolution in Life Sciences: Technologies, Applications, and Future Directions

Language 1.3

language gate read a heuristic

The language of the content, as the language gate read it off the converted text. The language the source declared is kept separately.

Description 1.4

source resource/title

The AI Revolution in Life Sciences: Technologies, Applications, and Future Directions explores the transformative role of Artificial Intelligence (AI) in life-science research, healthcare, biotechnology, agriculture, and biological engineering. The book provides a concise and accessible overview of AI technologies, applications, opportunities, and challenges shaping this rapidly evolving field. It introduces key concepts such as machine learning, deep learning, natural language processing, computer vision, predictive analytics, and generative AI, highlighting their ability to process complex datasets, identify patterns, improve prediction, and support scientific decision-making. The book examines important applications of AI in drug discovery, disease diagnosis, precision medicine, genomics, biotechnology, bioengineering, and precision agriculture. These applications demonstrate how AI can accelerate research, improve healthcare outcomes, enhance biological analysis, and support more efficient and sustainable systems. It also addresses responsible AI adoption through discussions of data privacy, cybersecurity, algorithmic bias, transparency, explainability, ethics, and regulatory challenges. Looking ahead, the book explores emerging areas such as generative AI, autonomous laboratories, digital biology, AI-driven biological discovery, and AI–quantum computing integration. Designed for students, researchers, academicians, healthcare professionals, biotechnology specialists, and life-science practitioners, the book provides a foundation for understanding both the current capabilities and future possibilities of AI. Ultimately, the book presents AI as a powerful enabling force capable of reshaping scientific discovery, healthcare, biotechnology, agriculture, and sustainable development, while emphasising the ethical and practical responsibilities that accompany its adoption.

The abstract, and the depositor's additional notes after it as a second LangString when the source has a field for them.

Keyword 1.5

none found — the source did not declare it

Coverage 1.6

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The time, place or culture the resource applies to. No source declares it.

Structure 1.7

not collected — this library does not fill it

Not declared by any of the three sources, and not estimated here.

Aggregation level 1.8

not collected — this library does not fill it

Not declared by any of the three sources, and not estimated here.

2 Life cycle 1/3

Version 2.1

none found — the source did not declare it

Status 2.2

none found — the source did not declare it

Draft, final, revised or unavailable, and only when the source says so. A first version is not thereby final.

Contribute 2.3

source resource/creators/0/name

Dr. Prabhavati, Dr. Soumya M. Hegde, Dr. Jagadevi Shivaputrappa , Dr. Mahesh Vilas Tanwade — author

Role, entity and date per declared contribution. A role outside LOM's vocabulary is reported in the entry's description instead.

3 Meta-metadata 4/4

Identifier 3.1 this engine resource_id: URI: tag:aim-pro.eu,2026:oer/b30eeb09cb94/record

The identifier of this metadata record — the resource's own, with /record after it, because the record is a description of the resource and not the resource.
Contribute 3.2 this engine source: AIM-PRO WP3 OER harvester (Zenodo) — creator

Who generated this record and when — a statement about the record, not about the resource.
Metadata schema 3.3: LOMv1.0
aimpro-oer-profile/1

LOMv1.0, and the profile this was built against.
Language 3.4 language gate read a heuristic: en

4 Technical 3/7

Format 4.1

source resource
conversion pdf

application/pdf
text/markdown

One value per form held: the original as the source published it, and the Markdown this engine extracted.

Size 4.2

source resource
conversion pdf

6381434

Bytes. The original's, because the resource is the file and not our conversion of it.

Location 4.3

this engine resource_id

https://zenodo.org/records/22124918

Where the source serves it.

Requirement 4.4

not collected — this library does not fill it

Software or hardware needed to use it. No source declares it.

Installation remarks 4.5

not collected — this library does not fill it

No source declares it.

Other platform requirements 4.6

not collected — this library does not fill it

No source declares it.

Duration 4.7

not collected — this library does not fill it

Playing time, for audio and video. The corpus holds neither.

5 Educational 1/11

Interactivity type 5.1

not collected — this library does not fill it

Active, expositive or mixed. A judgement about how the resource is used; no source declares it.

Learning resource type 5.2

source resource/resource_type/title
mapped learning_resource_type/Book

narrative text

Only from a declaration that maps onto LOM's vocabulary. A file format is not a declaration.

Interactivity level 5.3

not collected — this library does not fill it

No source declares it, and nothing here reads the resource to judge it.

Semantic density 5.4

not collected — this library does not fill it

No source declares it, and nothing here reads the resource to judge it.

Intended end user role 5.5

mapped learning_resource_type/Book

none found — the source did not declare it

Imported when declared.

Context 5.6

mapped learning_resource_type/Book

none found — the source did not declare it

Imported when declared.

Typical age range 5.7

not collected — this library does not fill it

No source declares it.

Difficulty 5.8

mapped learning_resource_type/Book

none found — the source did not declare it

Imported when declared and never estimated.

Typical learning time 5.9

mapped learning_resource_type/Book

none found — the source did not declare it

Imported when declared. Never computed from a word count.

Description 5.10

mapped learning_resource_type/Book

none found — the source did not declare it

An explicit statement about educational use, when the source makes one.

Language 5.11

not collected — this library does not fill it

The language of the intended learner. Not assumed to be the content's: a lesson in English may be written for learners of it.

6 Rights 3/3

Cost 6.1 licence gate metadata.license.id: no — free to use

No: the licence gate refuses anything it cannot establish open reuse terms for, before the bytes are requested.
Copyright and other restrictions 6.2 licence gate metadata.license.id: yes — attribution required (CC-BY-4.0)

Yes unless the licence reserves nothing — attribution is a restriction. The conditions after the dash are the licence gate's reading; the export carries LOM's bare term.
Description 6.3 licence gate metadata.license.id: CC-BY-4.0 · https://creativecommons.org/licenses/by/4.0/. Conditions: adaptation permitted, attribution required.

The SPDX id, the licence URI and the conditions. LOM has no element for any of the three, so this is where they survive.

7 Relation 2/2

Kind 7.1 source resource: isversionof
hasformat
Resource 7.2 source resource inferred read its reference list, line 2045 citation: URI: https://doi.org/10.5281/zenodo.22124917
all versions of this deposit
Markdown extracted from the original by pdf-inspector

references: doi:10.1016/j.procbio.2025.05.023
references: doi:10.1097/sla.0000000000005700
references: doi:10.1038/s41591-024-03113-4
references: doi:10.1016/j.trac.2024.117944
references: arXiv:2103.16106
references: doi:10.1016/j.atech.2024.100425
references: doi:10.1038/s41586-024-07487-w
references: doi:10.1038/s41592-024-
references: doi:10.1038/s41591-022-01981-2
references: doi:10.5493/wjem.v14.i4.99
references: doi:10.1016/j.imj.2024.100095
references: doi:10.1038/s41591-019-0447-x
and 85 more, every one of them in the export

The container a file was found inside, and the Markdown extracted from the original. What a lab requires, and the lab a component belongs to, are inferred and stand apart.

8 Annotation 0/3

Entity 8.1

not collected — this library does not fill it

Comments on the resource's educational use, by whoever made them. The platform's review grades competencies, which are classification (9), and writes no comment here.

Date 8.2

not collected — this library does not fill it

Description 8.3

not collected — this library does not fill it

9 Classification 0/4

Purpose 9.1

not collected — this library does not fill it

Empty in the record: no source declares a competency. The alignment reads the resource for them and stands beside the record, never in it, and a taxon path derived from the search string that found it would be a claim about the query.

Taxon path 9.2

not collected — this library does not fill it

Where the competency framework goes. Empty in the record for the reason above.

Description 9.3

not collected — this library does not fill it

Keyword 9.4

not collected — this library does not fill it

What could not be established5

Where the source's metadata could not be carried over as it was — missing, contradictory, with no matching term in the standard, restructured, or taken from the repository — and what was done instead. Without these notes, an empty element would look like something the harvester missed.

Status	Field	Why
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Not available	`declared_language`	the source declared no language; the recorded content language is this engine's reading of the text
Not available	`rights_holder`	no rights holder is named at source; the licence is recorded without one rather than attributed to the platform that served it
Not available	`publisher`	the source named no publisher of the work; where it was collected from is recorded as collection provenance instead, which is a different claim
Not available	`educational`	the source declared no educational metadata — no resource type, audience, context, difficulty or learning time. Nothing here estimates them