David S Palmer

David S Palmer

University of Strathclyde

H-index: 29

Europe-United Kingdom

About David S Palmer

David S Palmer, With an exceptional h-index of 29 and a recent h-index of 23 (since 2020), a distinguished researcher at University of Strathclyde, specializes in the field of Computational chemistry, biochemistry, physics, cheminformatics, cancer diagnostics.

His recent articles reflect a diverse array of research interests and contributions to the field:

CREATE-2: Colorectal cancer & adenoma test evaluation of a multi-omic blood test

Blinded predictions and post hoc analysis of the second solubility challenge data: exploring training data and feature set selection for machine and deep learning models

504MO Validation of a spectroscopic liquid biopsy for the earlier detection of brain cancer

Rapid detection of heart failure using a spectroscopic liquid biopsy

Global serum profiling: an opportunity for earlier cancer detection

Structure-guided design of a domain-selective bromodomain and extra terminal N-terminal bromodomain chemical probe

Augmentation of FTIR spectral datasets using Wasserstein generative adversarial networks for cancer liquid biopsies

A spectroscopic liquid biopsy for the earlier detection of multiple cancer types

David S Palmer Information

University

Position

|| ClinspecDx

Citations(all)

2922

Citations(since 2020)

1709

Cited By

1815

hIndex(all)

29

hIndex(since 2020)

23

i10Index(all)

48

i10Index(since 2020)

40

Email

University Profile Page

University of Strathclyde

Google Scholar

View Google Scholar Profile

David S Palmer Skills & Research Interests

Computational chemistry

biochemistry

physics

cheminformatics

cancer diagnostics

Top articles of David S Palmer

Title

Journal

Author(s)

Publication Date

CREATE-2: Colorectal cancer & adenoma test evaluation of a multi-omic blood test

Cancer Research

James M Cameron

Georgios Antoniou

Rose McHardy

David Palmer

Alexandra Sala

...

2024/3/22

Blinded predictions and post hoc analysis of the second solubility challenge data: exploring training data and feature set selection for machine and deep learning models

Journal of Chemical Information and Modeling

Jonathan GM Conn

James W Carter

Justin JA Conn

Vigneshwari Subramanian

Andrew Baxter

...

2023/2/9

504MO Validation of a spectroscopic liquid biopsy for the earlier detection of brain cancer

Annals of Oncology

JM Cameron

A Sala

JJA Conn

G Antoniou

DS Palmer

...

2023/10/1

Rapid detection of heart failure using a spectroscopic liquid biopsy

Clinical Spectroscopy

Loren Christie

Alexandra Sala

James M Cameron

Justin JA Conn

David S Palmer

...

2023/12/1

Global serum profiling: an opportunity for earlier cancer detection

Alexandra Sala

James M Cameron

Paul M Brennan

Emma J Crosbie

Tom Curran

...

2023/8/15

Structure-guided design of a domain-selective bromodomain and extra terminal N-terminal bromodomain chemical probe

Journal of Medicinal Chemistry

Erin Bradley

Lucia Fusani

Chun-wa Chung

Peter D Craggs

Emmanuel H Demont

...

2023/11/15

Augmentation of FTIR spectral datasets using Wasserstein generative adversarial networks for cancer liquid biopsies

Analyst

Rose G McHardy

Georgios Antoniou

Justin JA Conn

Matthew J Baker

David S Palmer

2023

A spectroscopic liquid biopsy for the earlier detection of multiple cancer types

British Journal of Cancer

James M Cameron

Alexandra Sala

Georgios Antoniou

Paul M Brennan

Holly J Butler

...

2023/11/9

Infra-red spectroscopy system

2023/6/6

Recurrent neural networks for time domain modelling of FTIR spectra: application to brain tumour detection

Analyst

Georgios Antoniou

Justin JA Conn

Benjamin R Smith

Paul M Brennan

Matthew J Baker

...

2023

583P A rapid blood test for the earlier detection of colorectal cancer

Annals of Oncology

Jennifer Nobes

JM Cameron

A Sala

G Antoniou

JJA Conn

...

2023/10/1

Early colorectal cancer detection with a spectroscopic liquid biopsy.

James Munro Cameron

Georgios Antoniou

Paul Brennan

Justin Conn

Ewan Gray

...

2023/6/1

Solvation entropy, enthalpy and free energy prediction using a multi-task deep learning functional in 1D-RISM

Physical Chemistry Chemical Physics

Daniel J Fowles

David S Palmer

2023

Liquid biopsies: the future of cancer early detection

Siobhan Connal

James M Cameron

Alexandra Sala

Paul M Brennan

David S Palmer

...

2023/2/11

1216P A spectroscopic liquid biopsy for the earlier detection of multiple cancer types

Annals of Oncology

MJ Baker

JM Cameron

A Sala

G Antoniou

JJA Conn

...

2023/10/1

Accurately predicting solvation free energy in aqueous and organic solvents beyond 298 K by combining deep learning and the 1D reference interaction site model

Digital Discovery

Daniel J Fowles

Rose G McHardy

Abdullah Ahmad

David S Palmer

2023

Pocket-size near-IR spectrometers for rapid examination of contaminated textile fibres at the crime-scene

Vibrational Spectroscopy

Hamad S Rashed

Andrew J Parrott

Alison Nordon

Matthew J Baker

David S Palmer

2022/11/1

Multicancer early detection with a spectroscopic liquid biopsy platform.

Matthew Baker

James Munro Cameron

Alexandra Sala

Georgios Antoniou

Holly Butler

...

2022/6/1

Liquid biopsy for pancreatic cancer detection using infrared spectroscopy

Cancers

Alexandra Sala

James M Cameron

Cerys A Jenkins

Hugh Barr

Loren Christie

...

2022/6/21

Neuro-Oncology Advances

Masafumi Miyai

Tomohiro Kanayama

Fuminori Hyodo

Takamasa Kinoshita

Takuma Ishihara

...

2020

See List of Professors in David S Palmer University(University of Strathclyde)

Co-Authors

H-index: 66
Graeme M. Day

Graeme M. Day

University of Southampton

H-index: 62
Frank Jensen

Frank Jensen

Aarhus Universitet

H-index: 61
robert c. glen

robert c. glen

University of Cambridge

H-index: 57
Jonathan M Goodman

Jonathan M Goodman

University of Cambridge

H-index: 54
Michael D Jenkinson

Michael D Jenkinson

University of Liverpool

H-index: 46
John Mitchell

John Mitchell

University of St Andrews

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