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Vertebrates --- Amyotrophic lateral sclerosis. --- Motor neurons. --- Anatomy.

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Amyotrophic lateral sclerosis --- Biographical fiction, French --- Sclérose latérale amyotrophique

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During the last 60 years the relevance of cannabis (Cannabis sativa or Cannabis indica) ingredients, like the psychoactive Δ9-tetrahydrocannabinol (THC), cannabidiol, 120+ additional cannabinoids and 440+ non-cannabinoid compounds, for human health and disease has become apparent. Approximately 30 years after the elucidation of THC structure the molecular reasons for the biological activity of these plant extracts were made clearer by the discovery of endocannabinoids, that are endogenous lipids able to bind to the same receptors activated by THC. Besides endocannabinoids, that include several N-acylethanolamines and acylesters, a complex array of receptors, metabolic enzymes, transporters (transmembrane, intracellular and extracellular carriers) were also discovered, and altogether they form a so-called “endocannabinoid system” that has been shown to finely tune the manifold biological activities of these lipid signals. Both plant-derived cannabinoids and endocannabinoids were first discovered by the group led by Prof. Dr. Raphael Mechoulam, who has just celebrated his 90th birthday and clearly stood out as a giant of modern science. The many implications of his seminal work for chemistry, biochemistry, biology, pharmacology and medicine are described in this special issue by the scientists who reached during the last 20 years the highest recognition in the field of (endo)cannabinoid research, receiving the Mechoulam Award for their major contributions. I thank them for having accepted my invitation to be part of this honorary issue of Molecules, and Raphi for continuing to illuminate our field with his always inspiring investigations and new ideas.

Research & information: general --- Biology, life sciences --- Biochemistry --- cannabinoid --- MRI-1867 --- hybrid ligand --- CB1 receptor antagonist --- iNOS inhibitor --- rimonabant --- intracerebroventricular administration --- alcohol craving --- two-bottle paradigm --- drinking in the dark --- N-acyltransferase --- anandamide --- endocannabinoid --- phospholipase A2 --- cannabichromene --- cannabidiolic acid --- cannabidivarin --- cannabidivarinic acid --- phytocannabinoids --- tetrahydrocannabivarin --- 4′-fluoro-cannabidiol --- cannabinoid tetrad --- elevated plus maze --- catalepsy --- marble bury --- HUF-101 --- equilibrative nucleoside transporter --- CB1 --- biased signaling --- functional selectivity --- G-protein --- β-arrestin --- cannabigerol --- anti-inflammatory --- obesity --- cannabinoid receptor 2 (CB2R) --- microglia --- inflammaging --- memory --- lipofuscin --- aminoalkylindole --- allodynia --- antinociception --- cannabinoid receptor --- CP55940 --- JWH-018 --- K2 --- pravadoline --- spice --- WIN55212-2 --- type 1 cannabinoid receptor CB1 --- cholesterol --- hippocampus --- frontal cortex --- synaptosomes --- rescue model --- anti-CB1 antibody --- cannabinoids --- GPR55 receptors --- VCE-006.1 --- chromenopyrazole --- Parkinson’s disease --- 6-hydroxydopamine --- lipopolysaccharide --- amyotrophic lateral sclerosis --- mSOD1 mice --- TDP-43 transgenic mice --- PPARs --- gut microbiome --- intestine --- ghrelin --- LEAP2 --- n/a --- 4'-fluoro-cannabidiol --- Parkinson's disease

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Biomedicine is a multidisciplinary branch of medical science that consists of many scientific disciplines, e.g., biology, biotechnology, bioinformatics, and genetics; moreover, it covers various medical specialties. In recent years, this field of science has developed rapidly. This means that a large amount of data has been generated, due to (among other reasons) the processing, analysis, and recognition of a wide range of biomedical signals and images obtained through increasingly advanced medical imaging devices. The analysis of these data requires the use of advanced IT methods, which include those related to the use of artificial intelligence, and in particular machine learning. It is a summary of the Special Issue “Machine Learning for Biomedical Application”, briefly outlining selected applications of machine learning in the processing, analysis, and recognition of biomedical data, mostly regarding biosignals and medical images.

Research & information: general --- depthwise separable convolution (DSC) --- all convolutional network (ACN) --- batch normalization (BN) --- ensemble convolutional neural network (ECNN) --- electrocardiogram (ECG) --- MIT-BIH database --- cephalometric landmark --- X-ray --- deep learning --- ResNet --- registration --- electronic human-machine interface --- blindness --- gesture recognition --- inertial sensors --- IMU --- dynamic contrast-enhanced MRI --- kidney perfusion --- glomerular filtration rate --- pharmacokinetic modeling --- multi-layer perceptron --- parameter estimation --- instance segmentation --- computer vision --- retinal blood vessel image --- computer-aided diagnosis --- U-shaped neural network --- residual learning --- semantic gap --- intracranial hemorrhage --- computed tomography --- random forest --- sleep disorder --- obstructive sleep disorder --- overnight polysomnogram --- EEG --- EMG --- ECG --- HRV signals --- Electronic Medical Record (EMR) --- disease prediction --- Amyotrophic Lateral Sclerosis (ALS) --- weighted Jaccard index (WJI) --- lung cancer --- CT images --- CNN --- pulmonary fibrosis --- radiotherapy --- n/a

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During the last 60 years the relevance of cannabis (Cannabis sativa or Cannabis indica) ingredients, like the psychoactive Δ9-tetrahydrocannabinol (THC), cannabidiol, 120+ additional cannabinoids and 440+ non-cannabinoid compounds, for human health and disease has become apparent. Approximately 30 years after the elucidation of THC structure the molecular reasons for the biological activity of these plant extracts were made clearer by the discovery of endocannabinoids, that are endogenous lipids able to bind to the same receptors activated by THC. Besides endocannabinoids, that include several N-acylethanolamines and acylesters, a complex array of receptors, metabolic enzymes, transporters (transmembrane, intracellular and extracellular carriers) were also discovered, and altogether they form a so-called “endocannabinoid system” that has been shown to finely tune the manifold biological activities of these lipid signals. Both plant-derived cannabinoids and endocannabinoids were first discovered by the group led by Prof. Dr. Raphael Mechoulam, who has just celebrated his 90th birthday and clearly stood out as a giant of modern science. The many implications of his seminal work for chemistry, biochemistry, biology, pharmacology and medicine are described in this special issue by the scientists who reached during the last 20 years the highest recognition in the field of (endo)cannabinoid research, receiving the Mechoulam Award for their major contributions. I thank them for having accepted my invitation to be part of this honorary issue of Molecules, and Raphi for continuing to illuminate our field with his always inspiring investigations and new ideas.

cannabinoid --- MRI-1867 --- hybrid ligand --- CB1 receptor antagonist --- iNOS inhibitor --- rimonabant --- intracerebroventricular administration --- alcohol craving --- two-bottle paradigm --- drinking in the dark --- N-acyltransferase --- anandamide --- endocannabinoid --- phospholipase A2 --- cannabichromene --- cannabidiolic acid --- cannabidivarin --- cannabidivarinic acid --- phytocannabinoids --- tetrahydrocannabivarin --- 4′-fluoro-cannabidiol --- cannabinoid tetrad --- elevated plus maze --- catalepsy --- marble bury --- HUF-101 --- equilibrative nucleoside transporter --- CB1 --- biased signaling --- functional selectivity --- G-protein --- β-arrestin --- cannabigerol --- anti-inflammatory --- obesity --- cannabinoid receptor 2 (CB2R) --- microglia --- inflammaging --- memory --- lipofuscin --- aminoalkylindole --- allodynia --- antinociception --- cannabinoid receptor --- CP55940 --- JWH-018 --- K2 --- pravadoline --- spice --- WIN55212-2 --- type 1 cannabinoid receptor CB1 --- cholesterol --- hippocampus --- frontal cortex --- synaptosomes --- rescue model --- anti-CB1 antibody --- cannabinoids --- GPR55 receptors --- VCE-006.1 --- chromenopyrazole --- Parkinson’s disease --- 6-hydroxydopamine --- lipopolysaccharide --- amyotrophic lateral sclerosis --- mSOD1 mice --- TDP-43 transgenic mice --- PPARs --- gut microbiome --- intestine --- ghrelin --- LEAP2 --- n/a --- 4'-fluoro-cannabidiol --- Parkinson's disease