1
Sequencing Protein enginee- ring High- throug. screen. Quantit. struct/ activity Combi- natorial chemist. Virtual drug screen. Focused library appr. Person. small mol. dev DL drug develop ment Person. ph-dyn. engin. Full cell ADMET screen. Antibody -drug conjug. Gene Therapy 3D Bioprinting Stem Cell Therapy Bio- informatics Biologics & Small Molecules Autolo- gous SC cultur. SCNT SC transcrip tomics SC signal- omics OPTI- OX STAP SC marker validat. iPSC bio- banking Auto cell enginee- ring iPSCs ICT Cell cult. enginee- ring Perso- nalized iPSC Auto cell culturing Auto stemcell screen. Auto in vit. gene therapy iTR SC prote- omics TALEN Gene gun RNAi therapy Micro- biome eng-ring CRISPR /Cpf1 Metabol. enginee- ring CRISPR /Cas9 Longe- vity gen. therapy Age.gen knock- out ZFN NgAgo Genome Editing Toolkits Adapt. gene circuits MAGE Chemi- cal surgery CRISPR /C2c2 CRISPR /Cpf1 shRNA therapy Gen- omics Transcri ptomics Omics for drug discov. Auto image analysis Structur. bioinfor- matics Auto sin. cell data analysis Bioinf. text mining Sequ- ence analysis Var. datasets harmon. GANs for drug discov. DL drug disco- very Med. records integrat. Token. data analysis Block- chain med. rec BLAST Person. genomic testing Pharma cogen- omics Big data analysis LONGEVITY.INTERNATIONAL LONGEVITY.INTERNATIONAL Nano- pore DNA SMRT Micro- scopy based Micro- fluidic Sanger Tunnell.c urrents DNA RNAP MPSS Organ- specific me-ome Helisc. single molec. 3D chrom. top-phy Organ-s pecific pr-ome Tissue- specific epi-ome Tissue- specific epi-ome In vitro virus HT seq. Whole-m etabo- lome Cell t.- specific tr-ome Sequen- cing with MS Cell t.- specific sig-ome iPANDA THE SCIENCE OF PROGRESSIVE MEDICINE 2017 LANDSCAPE Regenerative Medicine Bioactiv. scaffold Orga- noids for drug dev Organ on a chip SA nanofib. scaffold Hydro- gel scaffold Cell excaps.s caffold Skin for transpla ntation Immunor ecept. scaffold Nano- struct. scaffold Whole tissue Printing vascu- lature Whole organs Nano- structure bioprint. Magnet. 3D bio- print. Recellu- larized organs Printing lymph. vessels With synth. material Biocom- patible scaffold Bioactiv. scaffold Blockchain Translational Geroscience Cellular Therap- eutics Artificial Intelligence Tissue Engine- ering Organ Engine- ering Big Data in Medicine Geroceuticals Generative Adversarial Networks Artificial Intelligence Biomarker Technologies Deep Learning Drug Disc. Compar. Geroge-n omics Longev. Gene Therapy Ageing Gene Knockout Realtime Biomark. Tracking in vivo Biomarker Sensors Pop. Specific Biomark. Gero- protectors SASP Inhibitors Seno- lytics Distrib. Health Records Health Info. Exchange Block- chain Drug Verif. Top 120+ R&D Topics TRL 4-7 Technology Readiness Levels (TRL) are a common measure of how close a technology is for practical use, used in many engineering disciplines. By applying it to progressive medicine, we can forecast how long it will take a given therapeutic or technology to witness practical applications in the clinic or home. The darkness of each hexagon represents its TRL, with darker colors indicating a low TRL and brighter colors indicating a high TRL. All technologies and therapeutics shown here have a TRL between 4 – 7. Technologies surpassing a TLR of 8 are transferred to the practical applications of progressive medicine landscape overview. Technology Readiness Level (TRL) 9 8 7 6 5 4 Commercialized Pre-Production Field Test Prototype Bench/Lab Testing Detailed Design Prot-gen struct/ activity Struct.- based hypoth. Person. ph-kin. engin. Nat. geropro- tectors DL geropro- tectors Ligand-b ased hypoth.

THE SCIENCE OF - daks2k3a4ib2z.cloudfront.net chemist. Virtual drug screen. Focused library appr. Person. ... image analysis Structur. bioinfor-matics Auto sin. cell data analysis

  • Upload
    vumien

  • View
    214

  • Download
    1

Embed Size (px)

Citation preview

Sequencing

Protein enginee-

ring

High-throug. screen.

Quantit.struct/activity

Combi-natorial chemist.

Virtual drug

screen.

Focused library appr.

Person. small

mol. dev

DL drug develop

ment

Person.ph-dyn.engin.

Full cell ADMET screen.

Antibody-drug

conjug.

Gene Therapy

3DBioprinting

Stem Cell Therapy

Bio-informatics

Biologics & Small

Molecules

Autolo-gous SC

cultur.SCNT

SC transcriptomics

SC signal-omics

OPTI-OX STAP

SC marker validat.

iPSC bio-

banking

Auto cell enginee-

ring

iPSCs

ICT

Cell cult. enginee-

ring

Perso-nalized iPSC

Auto cell culturing

Auto stemcell screen.

Auto in vit. gene therapy

iTR

SC prote-omics

TALEN Gene gun

RNAi therapy

Micro-biome

eng-ring

CRISPR/Cpf1

Metabol. enginee-

ring

CRISPR /Cas9

Longe-vity gen. therapy

Age.gen knock-

out

ZFN

NgAgo

Genome Editing Toolkits

Adapt. gene

circuits

MAGEChemi-

cal surgery

CRISPR/C2c2

CRISPR/Cpf1

shRNAtherapy

Gen-omics

Transcriptomics

Omics for drug discov.

Auto image

analysis

Structur.bioinfor-matics

Auto sin. cell data analysis

Bioinf. text

mining

Sequ-ence

analysis

Var. datasets harmon.

GANs for drug discov.

DL drug disco-very

Med. records integrat.

Token. data

analysis

Block-chain

med. rec

BLASTPerson.genomic testing

Pharmacogen-omics

Big data analysis

LONGEVITY.INTERNATIONAL

LONGEVITY.INTERNATIONAL

Nano-pore DNA

SMRT

Micro-scopy based

Micro-fluidic

Sanger

Tunnell.currents DNA

RNAP

MPSS

Organ-specific me-ome

Helisc. single molec.

3D chrom. top-phy

Organ-specific pr-ome

Tissue-specific epi-ome

Tissue-specific epi-ome

In vitro virus HT

seq.

Whole-metabo-lome

Cell t.-specific tr-ome

Sequen-cing with

MS

Cell t.-specific sig-ome

iPANDA

THE SCIENCE OF PROGRESSIVE MEDICINE 2017LANDSCAPE

Regenerative Medicine

Bioactiv.scaffold

Orga-noids for drug dev

Organ on a chip

SA nanofib.scaffold

Hydro-gel

scaffold

Cell excaps.scaffold

Skin for transplantation

Immunorecept.

scaffold

Nano-struct.

scaffold

Wholetissue

Printing vascu-lature

Whole organs

Nano-structure bioprint.

Magnet.3D bio-print.

Recellu-larizedorgans

Printing lymph.vessels

With synth.

material

Biocom-patible scaffold

Bioactiv.scaffold

Blockchain

Translational Geroscience

Cellular Therap-eutics

Artificial Intelligence

TissueEngine-

ering

OrganEngine-

ering

Big Data in

Medicine

Geroceuticals

Generative Adversarial Networks

Artificial Intelligence

Biomarker Technologies

Deep Learning

Drug Disc.

Compar.Geroge-n

omics

Longev.Gene

Therapy

Ageing Gene

Knockout

RealtimeBiomark.Tracking

in vivo BiomarkerSensors

Pop. Specific Biomark.

Gero-protectors

SASPInhibitors

Seno-lytics

Distrib. Health

Records

Health Info.

Exchange

Block-chain Drug

Verif.

Top 120+ R&D Topics

TRL 4-7

Technology Readiness Levels (TRL) are a common measure of how close a technology is for practical use, used in many engineering disciplines. By applying it to progressive medicine, we can forecast how long it will take a given therapeutic or technology to witness practical applications in the clinic or home. The darkness of each hexagon represents its TRL, with darker colors indicating a low TRL and brighter colors indicating a high TRL. All technologies and therapeutics shown here have a TRL between 4 – 7. Technologies surpassing a TLR of 8 are transferred to the practical applications of progressive medicine landscape overview.

Technology Readiness Level (TRL)

987654

Commercialized

Pre-ProductionField Test

Prototype

Bench/Lab Testing

Detailed DesignProt-gen

struct/activity

Struct.-based

hypoth.

Person.ph-kin.engin.

Nat. geropro-tectors

DL geropro-tectors

Ligand-based

hypoth.