Accurate machine learning of rate coefficients for state-to-state transitions in molecular collisions.

We present an algorithm that combines quantum scattering calculations with probabilistic machine-learning models to predict quantum dynamics rate coefficients for a large number of state-to-state transitions in molecule-molecule collisions much faster than with direct solutions of the Schrödinger equation. By utilizing the predictive power of Gaussian process regression with kernels, optimized to make accurate predictions outside of the input parameter space, the present strategy reduces the computational cost by about 75%, with an accuracy within 5%. Our method uses temperature dependences of rate coefficients for transitions from the isolated states of initial rotational angular momentum j, determined via explicit calculations, to predict the temperature dependences of rate coefficients for other values of j.

AGITG MONARCC: A Randomized Phase 2 Study of Panitumumab Monotherapy and Panitumumab Plus 5-Fluorouracil as First-Line Therapy for Older Patients With RAS and BRAF Wild Type Metastatic Colorectal Cancer. A Study by the Australasian Gastro-Intestinal Trials Group (AGITG).

Background: Panitumumab (pan) plus chemotherapy is a preferred first-line therapy for unresectable RAS and BRAF wild type metastatic colorectal cancer (mCRC). Older patients may not be suitable for combination regimens. We investigated 2 lower intensity pan-containing regimens.

Role of locoregional therapy including liver transplantation in liver-only metastatic colorectal cancer: a review paper.

Introduction: Resection of primary tumor and liver metastases is the gold standard for colorectal cancer with liver-only metastases (CRLM). Although treatment options have expanded to enable conversion of unresectable to resectable CRLM, about 40% of patients will have definitively unresectable disease. Major advances in surgical techniques, immunosuppressive protocols and patient selection criteria for liver transplantation have resulted in improved outcomes.

Multi-omic integration with human DRG proteomics highlights TNFα signalling as a relevant sexually dimorphic pathway.

The peripheral nervous system has been widely implicated in pathological conditions that exhibit distinct clinical presentations in men and women, most notably in chronic pain disorders. Here, we explored this sexual dimorphism at a molecular level. We expanded the available omics landscape in the PNS to include quantitative proteomics of the human dorsal root ganglia (hDRG) and nerve.

Intrinsic adaptive plasticity in mouse and human sensory neurons.

In response to changes in activity induced by environmental cues, neurons in the central nervous system undergo homeostatic plasticity to sustain overall network function during abrupt changes in synaptic strengths. Homeostatic plasticity involves changes in synaptic scaling and regulation of intrinsic excitability. Increases in spontaneous firing and excitability of sensory neurons are evident in some forms of chronic pain in animal models and human patients.